List of Faculty Publications

Below is a list of Faculty publications imported from PubMed or manually added. By default, publications are sorted by year with titles displayed in ascending alphabetical order.
Shortcuts: Wühr, Martin | Wingreen, Ned | Wieschaus, Eric | Troyanskaya, Olga | Tilghman, Shirley | Storey, John | Singh, Mona | Shvartsman, Stanislav | Shaevitz, Joshua | Rabinowitz, Joshua | Murphy, Coleen | Levine, Michael {Levine, Michael S.} | Gregor, Thomas | Botstein, David | Bialek, William | Ayroles, Julien | Andolfatto, Peter | Akey, Joshua

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Humans
O. G. Troyanskaya, Integrated analysis of microarray results., Methods Mol Biol, vol. 382, pp. 429-37, 2007.
C. Huttenhower, Haley, E. M., Hibbs, M. A., Dumeaux, V., Barrett, D. R., Coller, H. A., and Troyanskaya, O. G., Exploring the human genome with functional maps., Genome Res, vol. 19, no. 6, pp. 1093-106, 2009.
K. M. Chen, Cofer, E. M., Zhou, J., and Troyanskaya, O. G., Selene: a PyTorch-based deep learning library for sequence data., Nat Methods, vol. 16, no. 4, pp. 315-318, 2019.
J. - T. Chi, Chang, H. Y., Haraldsen, G., Jahnsen, F. L., Troyanskaya, O. G., Chang, D. S., Wang, Z., Rockson, S. G., van de Rijn, M., Botstein, D., and Brown, P. O., Endothelial cell diversity revealed by global expression profiling., Proc Natl Acad Sci U S A, vol. 100, no. 19, pp. 10623-8, 2003.
V. N. Kristensen, Vaske, C. J., Ursini-Siegel, J., Van Loo, P., Nordgard, S. H., Sachidanandam, R., Sørlie, T., Wärnberg, F., Haakensen, V. D., Helland, Å., Naume, B., Perou, C. M., Haussler, D., Troyanskaya, O. G., and Børresen-Dale, A. - L., Integrated molecular profiles of invasive breast tumors and ductal carcinoma in situ (DCIS) reveal differential vascular and interleukin signaling., Proc Natl Acad Sci U S A, vol. 109, no. 8, pp. 2802-7, 2012.
B. Haarer, Viggiano, S., Hibbs, M. A., Troyanskaya, O. G., and Amberg, D. C., Modeling complex genetic interactions in a simple eukaryotic genome: actin displays a rich spectrum of complex haploinsufficiencies., Genes Dev, vol. 21, no. 2, pp. 148-59, 2007.
Y. -suk Lee, Wong, A. K., Tadych, A., Hartmann, B. M., Park, C. Y., DeJesus, V. A., Ramos, I., Zaslavsky, E., Sealfon, S. C., and Troyanskaya, O. G., Interpretation of an individual functional genomics experiment guided by massive public data., Nat Methods, vol. 15, no. 12, pp. 1049-1052, 2018.
Y. -suk Lee, Krishnan, A., Zhu, Q., and Troyanskaya, O. G., Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies., Bioinformatics, vol. 29, no. 23, pp. 3036-44, 2013.
M. L. Whitfield, Finlay, D. R., Murray, J. Isaac, Troyanskaya, O. G., Chi, J. - T., Pergamenschikov, A., McCalmont, T. H., Brown, P. O., Botstein, D., and M Connolly, K., Systemic and cell type-specific gene expression patterns in scleroderma skin., Proc Natl Acad Sci U S A, vol. 100, no. 21, pp. 12319-24, 2003.
S. P. Bohen, Troyanskaya, O. G., Alter, O., Warnke, R., Botstein, D., Brown, P. O., and Levy, R., Variation in gene expression patterns in follicular lymphoma and the response to rituximab., Proc Natl Acad Sci U S A, vol. 100, no. 4, pp. 1926-30, 2003.
C. S. Greene and Troyanskaya, O. G., Chapter 2: Data-driven view of disease biology., PLoS Comput Biol, vol. 8, no. 12, p. e1002816, 2012.
C. S. Greene and Troyanskaya, O. G., PILGRM: an interactive data-driven discovery platform for expert biologists., Nucleic Acids Res, vol. 39, no. Web Server issue, pp. W368-74, 2011.
A. Krishnan, Zhang, R., Yao, V., Theesfeld, C. L., Wong, A. K., Tadych, A., Volfovsky, N., Packer, A., Lash, A., and Troyanskaya, O. G., Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder., Nat Neurosci, vol. 19, no. 11, pp. 1454-1462, 2016.
O. G. Troyanskaya, Putting microarrays in a context: integrated analysis of diverse biological data., Brief Bioinform, vol. 6, no. 1, pp. 34-43, 2005.
C. Y. Park, Wong, A. K., Greene, C. S., Rowland, J., Guan, Y., Bongo, L. A., Burdine, R. D., and Troyanskaya, O. G., Functional knowledge transfer for high-accuracy prediction of under-studied biological processes., PLoS Comput Biol, vol. 9, no. 3, p. e1002957, 2013.
W. Ju, Greene, C. S., Eichinger, F., Nair, V., Hodgin, J. B., Bitzer, M., Lee, Y. -suk, Zhu, Q., Kehata, M., Li, M., Jiang, S., Rastaldi, M. Pia, Cohen, C. D., Troyanskaya, O. G., and Kretzler, M., Defining cell-type specificity at the transcriptional level in human disease., Genome Res, vol. 23, no. 11, pp. 1862-73, 2013.
A. K. Wong, Park, C. Y., Greene, C. S., Bongo, L. A., Guan, Y., and Troyanskaya, O. G., IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks., Nucleic Acids Res, vol. 40, no. Web Server issue, pp. W484-90, 2012.
J. Zhou, Park, C. Y., Theesfeld, C. L., Wong, A. K., Yuan, Y., Scheckel, C., Fak, J. J., Funk, J., Yao, K., Tajima, Y., Packer, A., Darnell, R. B., and Troyanskaya, O. G., Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk., Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
S. Y. Leung, Chen, X., Chu, K. M., Yuen, S. T., Mathy, J., Ji, J., S Y Chan, A., Li, R., Law, S., Troyanskaya, O. G., Tu, I. - P., Wong, J., So, S., Botstein, D., and Brown, P. O., Phospholipase A2 group IIA expression in gastric adenocarcinoma is associated with prolonged survival and less frequent metastasis., Proc Natl Acad Sci U S A, vol. 99, no. 25, pp. 16203-8, 2002.
C. L. Myers, Chen, X., and Troyanskaya, O. G., Visualization-based discovery and analysis of genomic aberrations in microarray data., BMC Bioinformatics, vol. 6, p. 146, 2005.
Y. Guan, Gorenshteyn, D., Burmeister, M., Wong, A. K., Schimenti, J. C., Handel, M. Ann, Bult, C. J., Hibbs, M. A., and Troyanskaya, O. G., Tissue-specific functional networks for prioritizing phenotype and disease genes., PLoS Comput Biol, vol. 8, no. 9, p. e1002694, 2012.
M. D. Chikina and Troyanskaya, O. G., Accurate quantification of functional analogy among close homologs., PLoS Comput Biol, vol. 7, no. 2, p. e1001074, 2011.
C. J. Nirschl, Suárez-Fariñas, M., Izar, B., Prakadan, S., Dannenfelser, R., Tirosh, I., Liu, Y., Zhu, Q., K Devi, S. P., Carroll, S. L., Chau, D., Rezaee, M., Kim, T. - G., Huang, R., Fuentes-Duculan, J., Song-Zhao, G. X., Gulati, N., Lowes, M. A., King, S. L., Quintana, F. J., Lee, Y. -suk, Krueger, J. G., Sarin, K. Y., Yoon, C. H., Garraway, L., Regev, iv, A., Shalek, A. K., Troyanskaya, O. G., and Anandasabapathy, N., IFNγ-Dependent Tissue-Immune Homeostasis Is Co-opted in the Tumor Microenvironment., Cell, vol. 170, no. 1, pp. 127-141.e15, 2017.
D. Gorenshteyn, Zaslavsky, E., Fribourg, M., Park, C. Y., Wong, A. K., Tadych, A., Hartmann, B. M., Albrecht, R. A., García-Sastre, A., Kleinstein, S. H., Troyanskaya, O. G., and Sealfon, S. C., Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases., Immunity, vol. 43, no. 3, pp. 605-14, 2015.
Genomics
J. Zhou, Park, C. Y., Theesfeld, C. L., Wong, A. K., Yuan, Y., Scheckel, C., Fak, J. J., Funk, J., Yao, K., Tajima, Y., Packer, A., Darnell, R. B., and Troyanskaya, O. G., Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk., Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
A. Pop, Huttenhower, C., Iyer-Pascuzzi, A., Benfey, P. N., and Troyanskaya, O. G., Integrated functional networks of process, tissue, and developmental stage specific interactions in Arabidopsis thaliana., BMC Syst Biol, vol. 4, p. 180, 2010.
C. L. Myers, Chiriac, C., and Troyanskaya, O. G., Discovering biological networks from diverse functional genomic data., Methods Mol Biol, vol. 563, pp. 157-75, 2009.
C. L. Myers, Barrett, D. R., Hibbs, M. A., Huttenhower, C., and Troyanskaya, O. G., Finding function: evaluation methods for functional genomic data., BMC Genomics, vol. 7, p. 187, 2006.
C. Huttenhower, Myers, C. L., Hibbs, M. A., and Troyanskaya, O. G., Computational analysis of the yeast proteome: understanding and exploiting functional specificity in genomic data., Methods Mol Biol, vol. 548, pp. 273-93, 2009.
Y. Guan, Ackert-Bicknell, C. L., Kell, B., Troyanskaya, O. G., and Hibbs, M. A., Functional genomics complements quantitative genetics in identifying disease-gene associations., PLoS Comput Biol, vol. 6, no. 11, p. e1000991, 2010.
K. M. Chen, Cofer, E. M., Zhou, J., and Troyanskaya, O. G., Selene: a PyTorch-based deep learning library for sequence data., Nat Methods, vol. 16, no. 4, pp. 315-318, 2019.
C. S. Greene and Troyanskaya, O. G., Accurate evaluation and analysis of functional genomics data and methods., Ann N Y Acad Sci, vol. 1260, pp. 95-100, 2012.
V. N. Kristensen, Vaske, C. J., Ursini-Siegel, J., Van Loo, P., Nordgard, S. H., Sachidanandam, R., Sørlie, T., Wärnberg, F., Haakensen, V. D., Helland, Å., Naume, B., Perou, C. M., Haussler, D., Troyanskaya, O. G., and Børresen-Dale, A. - L., Integrated molecular profiles of invasive breast tumors and ductal carcinoma in situ (DCIS) reveal differential vascular and interleukin signaling., Proc Natl Acad Sci U S A, vol. 109, no. 8, pp. 2802-7, 2012.
Y. -suk Lee, Wong, A. K., Tadych, A., Hartmann, B. M., Park, C. Y., DeJesus, V. A., Ramos, I., Zaslavsky, E., Sealfon, S. C., and Troyanskaya, O. G., Interpretation of an individual functional genomics experiment guided by massive public data., Nat Methods, vol. 15, no. 12, pp. 1049-1052, 2018.
M. D. Chikina and Troyanskaya, O. G., An effective statistical evaluation of ChIPseq dataset similarity., Bioinformatics, vol. 28, no. 5, pp. 607-13, 2012.
C. L. Myers, Robson, D., Wible, A., Hibbs, M. A., Chiriac, C., Theesfeld, C. L., Dolinski, K., and Troyanskaya, O. G., Discovery of biological networks from diverse functional genomic data., Genome Biol, vol. 6, no. 13, p. R114, 2005.
C. Huttenhower, Schroeder, M., Chikina, M. D., and Troyanskaya, O. G., The Sleipnir library for computational functional genomics., Bioinformatics, vol. 24, no. 13, pp. 1559-61, 2008.
Y. Guan, Myers, C. L., Lu, R., Lemischka, I. R., Bult, C. J., and Troyanskaya, O. G., A genomewide functional network for the laboratory mouse., PLoS Comput Biol, vol. 4, no. 9, p. e1000165, 2008.
A. K. Wong, Park, C. Y., Greene, C. S., Bongo, L. A., Guan, Y., and Troyanskaya, O. G., IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks., Nucleic Acids Res, vol. 40, no. Web Server issue, pp. W484-90, 2012.
F. Markowetz and Troyanskaya, O. G., Computational identification of cellular networks and pathways., Mol Biosyst, vol. 3, no. 7, pp. 478-82, 2007.
P. H. Bradley, Brauer, M. J., Rabinowitz, J. D., and Troyanskaya, O. G., Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae., PLoS Comput Biol, vol. 5, no. 1, p. e1000270, 2009.
Genome-Wide Association Study
F. Markowetz, Mulder, K. W., Airoldi, E. M., Lemischka, I. R., and Troyanskaya, O. G., Mapping dynamic histone acetylation patterns to gene expression in nanog-depleted murine embryonic stem cells., PLoS Comput Biol, vol. 6, no. 12, p. e1001034, 2010.
J. Zhou, Schor, I. E., Yao, V., Theesfeld, C. L., Marco-Ferreres, R., Tadych, A., Furlong, E. E. M., and Troyanskaya, O. G., Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development., PLoS Genet, vol. 15, no. 9, p. e1008382, 2019.
J. Zhou, Theesfeld, C. L., Yao, K., Chen, K. M., Wong, A. K., and Troyanskaya, O. G., Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk., Nat Genet, vol. 50, no. 8, pp. 1171-1179, 2018.
A. Baryshnikova, Costanzo, M., Kim, Y., Ding, H., Koh, J., Toufighi, K., Youn, J. - Y., Ou, J., San Luis, B. - J., Bandyopadhyay, S., Hibbs, M., Hess, D., Gingras, A. - C., Bader, G. D., Troyanskaya, O. G., Brown, G. W., Andrews, B., Boone, C., and Myers, C. L., Quantitative analysis of fitness and genetic interactions in yeast on a genome scale., Nat Methods, vol. 7, no. 12, pp. 1017-24, 2010.
Y. Guan, Ackert-Bicknell, C. L., Kell, B., Troyanskaya, O. G., and Hibbs, M. A., Functional genomics complements quantitative genetics in identifying disease-gene associations., PLoS Comput Biol, vol. 6, no. 11, p. e1000991, 2010.
A. Krishnan, Zhang, R., Yao, V., Theesfeld, C. L., Wong, A. K., Tadych, A., Volfovsky, N., Packer, A., Lash, A., and Troyanskaya, O. G., Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder., Nat Neurosci, vol. 19, no. 11, pp. 1454-1462, 2016.
Genome, Fungal
C. Huttenhower, Myers, C. L., Hibbs, M. A., and Troyanskaya, O. G., Computational analysis of the yeast proteome: understanding and exploiting functional specificity in genomic data., Methods Mol Biol, vol. 548, pp. 273-93, 2009.
A. Baryshnikova, Costanzo, M., Kim, Y., Ding, H., Koh, J., Toufighi, K., Youn, J. - Y., Ou, J., San Luis, B. - J., Bandyopadhyay, S., Hibbs, M., Hess, D., Gingras, A. - C., Bader, G. D., Troyanskaya, O. G., Brown, G. W., Andrews, B., Boone, C., and Myers, C. L., Quantitative analysis of fitness and genetic interactions in yeast on a genome scale., Nat Methods, vol. 7, no. 12, pp. 1017-24, 2010.
M. Costanzo, Baryshnikova, A., Bellay, J., Kim, Y., Spear, E. D., Sevier, C. S., Ding, H., L Y Koh, J., Toufighi, K., Mostafavi, S., Prinz, J., St Onge, R. P., VanderSluis, B., Makhnevych, T., Vizeacoumar, F. J., Alizadeh, S., Bahr, S., Brost, R. L., Chen, Y., Cokol, M., Deshpande, R., Li, Z., Lin, Z. - Y., Liang, W., Marback, M., Paw, J., San Luis, B. - J., Shuteriqi, E., Tong, A. Hin Yan, van Dyk, N., Wallace, I. M., Whitney, J. A., Weirauch, M. T., Zhong, G., Zhu, H., Houry, W. A., Brudno, M., Ragibizadeh, S., Papp, B., Pál, C., Roth, F. P., Giaever, G., Nislow, C., Troyanskaya, O. G., Bussey, H., Bader, G. D., Gingras, A. - C., Morris, Q. D., Kim, P. M., Kaiser, C. A., Myers, C. L., Andrews, B. J., and Boone, C., The genetic landscape of a cell., Science, vol. 327, no. 5964, pp. 425-31, 2010.
B. Haarer, Viggiano, S., Hibbs, M. A., Troyanskaya, O. G., and Amberg, D. C., Modeling complex genetic interactions in a simple eukaryotic genome: actin displays a rich spectrum of complex haploinsufficiencies., Genes Dev, vol. 21, no. 2, pp. 148-59, 2007.
A. A. Caudy, Guan, Y., Jia, Y., Hansen, C., DeSevo, C., Hayes, A. P., Agee, J., Alvarez-Dominguez, J. R., Arellano, H., Barrett, D., Bauerle, C., Bisaria, N., Bradley, P. H., J Breunig, S., Bush, E., Cappel, D., Capra, E., Chen, W., Clore, J., Combs, P. A., Doucette, C., Demuren, O., Fellowes, P., Freeman, S., Frenkel, E., Gadala-Maria, D., Gawande, R., Glass, D., Grossberg, S., Gupta, A., Hammonds-Odie, L., Hoisos, A., Hsi, J., Hsu, Y. - H. Huang, Inukai, S., Karczewski, K. J., Ke, X., Kojima, M., Leachman, S., Lieber, D., Liebowitz, A., Liu, J., Liu, Y., Martin, T., Mena, J., Mendoza, R., Myhrvold, C., Millian, C., Pfau, S., Raj, S., Rich, M., Rokicki, J., Rounds, W., Salazar, M., Salesi, M., Sharma, R., Silverman, S., Singer, C., Sinha, S., Staller, M., Stern, P., Tang, H., Weeks, S., Weidmann, M., Wolf, A., Young, C., Yuan, J., Crutchfield, C., McClean, M., Murphy, C. T., Llinás, M., Botstein, D., Troyanskaya, O. G., and Dunham, M. J., A new system for comparative functional genomics of Saccharomyces yeasts., Genetics, vol. 195, no. 1, pp. 275-87, 2013.
Y. Guan, Dunham, M. J., and Troyanskaya, O. G., Functional analysis of gene duplications in Saccharomyces cerevisiae., Genetics, vol. 175, no. 2, pp. 933-43, 2007.
Genetic Predisposition to Disease
Y. Guan, Gorenshteyn, D., Burmeister, M., Wong, A. K., Schimenti, J. C., Handel, M. Ann, Bult, C. J., Hibbs, M. A., and Troyanskaya, O. G., Tissue-specific functional networks for prioritizing phenotype and disease genes., PLoS Comput Biol, vol. 8, no. 9, p. e1002694, 2012.
J. Zhou, Park, C. Y., Theesfeld, C. L., Wong, A. K., Yuan, Y., Scheckel, C., Fak, J. J., Funk, J., Yao, K., Tajima, Y., Packer, A., Darnell, R. B., and Troyanskaya, O. G., Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk., Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
J. Zhou, Theesfeld, C. L., Yao, K., Chen, K. M., Wong, A. K., and Troyanskaya, O. G., Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk., Nat Genet, vol. 50, no. 8, pp. 1171-1179, 2018.
Y. Guan, Ackert-Bicknell, C. L., Kell, B., Troyanskaya, O. G., and Hibbs, M. A., Functional genomics complements quantitative genetics in identifying disease-gene associations., PLoS Comput Biol, vol. 6, no. 11, p. e1000991, 2010.
A. Krishnan, Zhang, R., Yao, V., Theesfeld, C. L., Wong, A. K., Tadych, A., Volfovsky, N., Packer, A., Lash, A., and Troyanskaya, O. G., Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder., Nat Neurosci, vol. 19, no. 11, pp. 1454-1462, 2016.
Genes, Fungal
O. G. Troyanskaya, Dolinski, K., Owen, A. B., Altman, R. B., and Botstein, D., A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae)., Proc Natl Acad Sci U S A, vol. 100, no. 14, pp. 8348-53, 2003.
P. H. Bradley, Brauer, M. J., Rabinowitz, J. D., and Troyanskaya, O. G., Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae., PLoS Comput Biol, vol. 5, no. 1, p. e1000270, 2009.
C. Huttenhower, Flamholz, A. I., Landis, J. N., Sahi, S., Myers, C. L., Olszewski, K. L., Hibbs, M. A., Siemers, N. O., Troyanskaya, O. G., and Coller, H. A., Nearest Neighbor Networks: clustering expression data based on gene neighborhoods., BMC Bioinformatics, vol. 8, p. 250, 2007.
J. A. Brown, Sherlock, G., Myers, C. L., Burrows, N. M., Deng, C., H Wu, I., McCann, K. E., Troyanskaya, O. G., and J Brown, M., Global analysis of gene function in yeast by quantitative phenotypic profiling., Mol Syst Biol, vol. 2, p. 2006.0001, 2006.
M. Costanzo, Baryshnikova, A., Bellay, J., Kim, Y., Spear, E. D., Sevier, C. S., Ding, H., L Y Koh, J., Toufighi, K., Mostafavi, S., Prinz, J., St Onge, R. P., VanderSluis, B., Makhnevych, T., Vizeacoumar, F. J., Alizadeh, S., Bahr, S., Brost, R. L., Chen, Y., Cokol, M., Deshpande, R., Li, Z., Lin, Z. - Y., Liang, W., Marback, M., Paw, J., San Luis, B. - J., Shuteriqi, E., Tong, A. Hin Yan, van Dyk, N., Wallace, I. M., Whitney, J. A., Weirauch, M. T., Zhong, G., Zhu, H., Houry, W. A., Brudno, M., Ragibizadeh, S., Papp, B., Pál, C., Roth, F. P., Giaever, G., Nislow, C., Troyanskaya, O. G., Bussey, H., Bader, G. D., Gingras, A. - C., Morris, Q. D., Kim, P. M., Kaiser, C. A., Myers, C. L., Andrews, B. J., and Boone, C., The genetic landscape of a cell., Science, vol. 327, no. 5964, pp. 425-31, 2010.
M. Costanzo, VanderSluis, B., Koch, E. N., Baryshnikova, A., Pons, C., Tan, G., Wang, W., Usaj, M., Hanchard, J., Lee, S. D., Pelechano, V., Styles, E. B., Billmann, M., van Leeuwen, J., van Dyk, N., Lin, Z. - Y., Kuzmin, E., Nelson, J., Piotrowski, J. S., Srikumar, T., Bahr, S., Chen, Y., Deshpande, R., Kurat, C. F., Li, S. C., Li, Z., Usaj, M. Mattiazzi, Okada, H., Pascoe, N., San Luis, B. - J., Sharifpoor, S., Shuteriqi, E., Simpkins, S. W., Snider, J., Suresh, H. Garadi, Tan, Y., Zhu, H., Malod-Dognin, N., Janjic, V., Przulj, N., Troyanskaya, O. G., Stagljar, I., Xia, T., Ohya, Y., Gingras, A. - C., Raught, B., Boutros, M., Steinmetz, L. M., Moore, C. L., Rosebrock, A. P., Caudy, A. A., Myers, C. L., Andrews, B., and Boone, C., A global genetic interaction network maps a wiring diagram of cellular function., Science, vol. 353, no. 6306, 2016.
M. J. Brauer, Huttenhower, C., Airoldi, E. M., Rosenstein, R., Matese, J. C., Gresham, D., Boer, V. M., Troyanskaya, O. G., and Botstein, D., Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast., Mol Biol Cell, vol. 19, no. 1, pp. 352-67, 2008.
Gene Regulatory Networks
D. Gorenshteyn, Zaslavsky, E., Fribourg, M., Park, C. Y., Wong, A. K., Tadych, A., Hartmann, B. M., Albrecht, R. A., García-Sastre, A., Kleinstein, S. H., Troyanskaya, O. G., and Sealfon, S. C., Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases., Immunity, vol. 43, no. 3, pp. 605-14, 2015.
M. D. Chikina and Troyanskaya, O. G., Accurate quantification of functional analogy among close homologs., PLoS Comput Biol, vol. 7, no. 2, p. e1001074, 2011.
C. Y. Park, Hess, D. C., Huttenhower, C., and Troyanskaya, O. G., Simultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway components., PLoS Comput Biol, vol. 6, no. 11, p. e1001009, 2010.
M. Costanzo, Baryshnikova, A., Bellay, J., Kim, Y., Spear, E. D., Sevier, C. S., Ding, H., L Y Koh, J., Toufighi, K., Mostafavi, S., Prinz, J., St Onge, R. P., VanderSluis, B., Makhnevych, T., Vizeacoumar, F. J., Alizadeh, S., Bahr, S., Brost, R. L., Chen, Y., Cokol, M., Deshpande, R., Li, Z., Lin, Z. - Y., Liang, W., Marback, M., Paw, J., San Luis, B. - J., Shuteriqi, E., Tong, A. Hin Yan, van Dyk, N., Wallace, I. M., Whitney, J. A., Weirauch, M. T., Zhong, G., Zhu, H., Houry, W. A., Brudno, M., Ragibizadeh, S., Papp, B., Pál, C., Roth, F. P., Giaever, G., Nislow, C., Troyanskaya, O. G., Bussey, H., Bader, G. D., Gingras, A. - C., Morris, Q. D., Kim, P. M., Kaiser, C. A., Myers, C. L., Andrews, B. J., and Boone, C., The genetic landscape of a cell., Science, vol. 327, no. 5964, pp. 425-31, 2010.
C. Huttenhower, Haley, E. M., Hibbs, M. A., Dumeaux, V., Barrett, D. R., Coller, H. A., and Troyanskaya, O. G., Exploring the human genome with functional maps., Genome Res, vol. 19, no. 6, pp. 1093-106, 2009.
Y. -suk Lee, Wong, A. K., Tadych, A., Hartmann, B. M., Park, C. Y., DeJesus, V. A., Ramos, I., Zaslavsky, E., Sealfon, S. C., and Troyanskaya, O. G., Interpretation of an individual functional genomics experiment guided by massive public data., Nat Methods, vol. 15, no. 12, pp. 1049-1052, 2018.
M. Costanzo, VanderSluis, B., Koch, E. N., Baryshnikova, A., Pons, C., Tan, G., Wang, W., Usaj, M., Hanchard, J., Lee, S. D., Pelechano, V., Styles, E. B., Billmann, M., van Leeuwen, J., van Dyk, N., Lin, Z. - Y., Kuzmin, E., Nelson, J., Piotrowski, J. S., Srikumar, T., Bahr, S., Chen, Y., Deshpande, R., Kurat, C. F., Li, S. C., Li, Z., Usaj, M. Mattiazzi, Okada, H., Pascoe, N., San Luis, B. - J., Sharifpoor, S., Shuteriqi, E., Simpkins, S. W., Snider, J., Suresh, H. Garadi, Tan, Y., Zhu, H., Malod-Dognin, N., Janjic, V., Przulj, N., Troyanskaya, O. G., Stagljar, I., Xia, T., Ohya, Y., Gingras, A. - C., Raught, B., Boutros, M., Steinmetz, L. M., Moore, C. L., Rosebrock, A. P., Caudy, A. A., Myers, C. L., Andrews, B., and Boone, C., A global genetic interaction network maps a wiring diagram of cellular function., Science, vol. 353, no. 6306, 2016.
C. Huttenhower, K Mutungu, T., Indik, N., Yang, W., Schroeder, M., Forman, J. J., Troyanskaya, O. G., and Coller, H. A., Detailing regulatory networks through large scale data integration., Bioinformatics, vol. 25, no. 24, pp. 3267-74, 2009.
Y. Guan, Myers, C. L., Lu, R., Lemischka, I. R., Bult, C. J., and Troyanskaya, O. G., A genomewide functional network for the laboratory mouse., PLoS Comput Biol, vol. 4, no. 9, p. e1000165, 2008.
A. Krishnan, Zhang, R., Yao, V., Theesfeld, C. L., Wong, A. K., Tadych, A., Volfovsky, N., Packer, A., Lash, A., and Troyanskaya, O. G., Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder., Nat Neurosci, vol. 19, no. 11, pp. 1454-1462, 2016.
A. K. Wong, Park, C. Y., Greene, C. S., Bongo, L. A., Guan, Y., and Troyanskaya, O. G., IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks., Nucleic Acids Res, vol. 40, no. Web Server issue, pp. W484-90, 2012.
M. D. Chikina, Huttenhower, C., Murphy, C. T., and Troyanskaya, O. G., Global prediction of tissue-specific gene expression and context-dependent gene networks in Caenorhabditis elegans., PLoS Comput Biol, vol. 5, no. 6, p. e1000417, 2009.
A. Pop, Huttenhower, C., Iyer-Pascuzzi, A., Benfey, P. N., and Troyanskaya, O. G., Integrated functional networks of process, tissue, and developmental stage specific interactions in Arabidopsis thaliana., BMC Syst Biol, vol. 4, p. 180, 2010.
Gene Expression Regulation, Fungal
C. Huttenhower, Flamholz, A. I., Landis, J. N., Sahi, S., Myers, C. L., Olszewski, K. L., Hibbs, M. A., Siemers, N. O., Troyanskaya, O. G., and Coller, H. A., Nearest Neighbor Networks: clustering expression data based on gene neighborhoods., BMC Bioinformatics, vol. 8, p. 250, 2007.
M. Costanzo, Baryshnikova, A., Bellay, J., Kim, Y., Spear, E. D., Sevier, C. S., Ding, H., L Y Koh, J., Toufighi, K., Mostafavi, S., Prinz, J., St Onge, R. P., VanderSluis, B., Makhnevych, T., Vizeacoumar, F. J., Alizadeh, S., Bahr, S., Brost, R. L., Chen, Y., Cokol, M., Deshpande, R., Li, Z., Lin, Z. - Y., Liang, W., Marback, M., Paw, J., San Luis, B. - J., Shuteriqi, E., Tong, A. Hin Yan, van Dyk, N., Wallace, I. M., Whitney, J. A., Weirauch, M. T., Zhong, G., Zhu, H., Houry, W. A., Brudno, M., Ragibizadeh, S., Papp, B., Pál, C., Roth, F. P., Giaever, G., Nislow, C., Troyanskaya, O. G., Bussey, H., Bader, G. D., Gingras, A. - C., Morris, Q. D., Kim, P. M., Kaiser, C. A., Myers, C. L., Andrews, B. J., and Boone, C., The genetic landscape of a cell., Science, vol. 327, no. 5964, pp. 425-31, 2010.
A. Baryshnikova, Costanzo, M., Kim, Y., Ding, H., Koh, J., Toufighi, K., Youn, J. - Y., Ou, J., San Luis, B. - J., Bandyopadhyay, S., Hibbs, M., Hess, D., Gingras, A. - C., Bader, G. D., Troyanskaya, O. G., Brown, G. W., Andrews, B., Boone, C., and Myers, C. L., Quantitative analysis of fitness and genetic interactions in yeast on a genome scale., Nat Methods, vol. 7, no. 12, pp. 1017-24, 2010.
Y. Guan, Dunham, M. J., Troyanskaya, O. G., and Caudy, A. A., Comparative gene expression between two yeast species., BMC Genomics, vol. 14, p. 33, 2013.
M. J. Brauer, Huttenhower, C., Airoldi, E. M., Rosenstein, R., Matese, J. C., Gresham, D., Boer, V. M., Troyanskaya, O. G., and Botstein, D., Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast., Mol Biol Cell, vol. 19, no. 1, pp. 352-67, 2008.
Y. Guan, Dunham, M. J., and Troyanskaya, O. G., Functional analysis of gene duplications in Saccharomyces cerevisiae., Genetics, vol. 175, no. 2, pp. 933-43, 2007.
Y. Guan, Yao, V., Tsui, K., Gebbia, M., Dunham, M. J., Nislow, C., and Troyanskaya, O. G., Nucleosome-coupled expression differences in closely-related species., BMC Genomics, vol. 12, p. 466, 2011.
Gene Expression Regulation
O. G. Troyanskaya, Integrated analysis of microarray results., Methods Mol Biol, vol. 382, pp. 429-37, 2007.
J. - T. Chi, Chang, H. Y., Haraldsen, G., Jahnsen, F. L., Troyanskaya, O. G., Chang, D. S., Wang, Z., Rockson, S. G., van de Rijn, M., Botstein, D., and Brown, P. O., Endothelial cell diversity revealed by global expression profiling., Proc Natl Acad Sci U S A, vol. 100, no. 19, pp. 10623-8, 2003.
O. G. Troyanskaya, Putting microarrays in a context: integrated analysis of diverse biological data., Brief Bioinform, vol. 6, no. 1, pp. 34-43, 2005.
F. Markowetz, Mulder, K. W., Airoldi, E. M., Lemischka, I. R., and Troyanskaya, O. G., Mapping dynamic histone acetylation patterns to gene expression in nanog-depleted murine embryonic stem cells., PLoS Comput Biol, vol. 6, no. 12, p. e1001034, 2010.
F. Markowetz, Kostka, D., Troyanskaya, O. G., and Spang, R., Nested effects models for high-dimensional phenotyping screens., Bioinformatics, vol. 23, no. 13, pp. i305-12, 2007.
M. D. Chikina, Huttenhower, C., Murphy, C. T., and Troyanskaya, O. G., Global prediction of tissue-specific gene expression and context-dependent gene networks in Caenorhabditis elegans., PLoS Comput Biol, vol. 5, no. 6, p. e1000417, 2009.
J. Zhou, Park, C. Y., Theesfeld, C. L., Wong, A. K., Yuan, Y., Scheckel, C., Fak, J. J., Funk, J., Yao, K., Tajima, Y., Packer, A., Darnell, R. B., and Troyanskaya, O. G., Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk., Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
P. H. Bradley, Brauer, M. J., Rabinowitz, J. D., and Troyanskaya, O. G., Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae., PLoS Comput Biol, vol. 5, no. 1, p. e1000270, 2009.
J. Zhou and Troyanskaya, O. G., Global quantitative modeling of chromatin factor interactions., PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
Gene Expression Profiling
C. Huttenhower, Flamholz, A. I., Landis, J. N., Sahi, S., Myers, C. L., Olszewski, K. L., Hibbs, M. A., Siemers, N. O., Troyanskaya, O. G., and Coller, H. A., Nearest Neighbor Networks: clustering expression data based on gene neighborhoods., BMC Bioinformatics, vol. 8, p. 250, 2007.
O. G. Troyanskaya, Garber, M. E., Brown, P. O., Botstein, D., and Altman, R. B., Nonparametric methods for identifying differentially expressed genes in microarray data., Bioinformatics, vol. 18, no. 11, pp. 1454-61, 2002.
X. Chen, Leung, S. Y., Yuen, S. T., Chu, K. - M., Ji, J., Li, R., S Y Chan, A., Law, S., Troyanskaya, O. G., Wong, J., So, S., Botstein, D., and Brown, P. O., Variation in gene expression patterns in human gastric cancers., Mol Biol Cell, vol. 14, no. 8, pp. 3208-15, 2003.
R. Lu, Markowetz, F., Unwin, R. D., Leek, J. T., Airoldi, E. M., MacArthur, B. D., Lachmann, A., Rozov, R., Ma'ayan, A., Boyer, L. A., Troyanskaya, O. G., Whetton, A. D., and Lemischka, I. R., Systems-level dynamic analyses of fate change in murine embryonic stem cells., Nature, vol. 462, no. 7271, pp. 358-62, 2009.
E. M. Airoldi, Huttenhower, C., Gresham, D., Lu, C., Caudy, A. A., Dunham, M. J., Broach, J. R., Botstein, D., and Troyanskaya, O. G., Predicting cellular growth from gene expression signatures., PLoS Comput Biol, vol. 5, no. 1, p. e1000257, 2009.
Y. Guan, Dunham, M. J., Troyanskaya, O. G., and Caudy, A. A., Comparative gene expression between two yeast species., BMC Genomics, vol. 14, p. 33, 2013.
O. G. Troyanskaya, Integrated analysis of microarray results., Methods Mol Biol, vol. 382, pp. 429-37, 2007.
C. Huttenhower, Haley, E. M., Hibbs, M. A., Dumeaux, V., Barrett, D. R., Coller, H. A., and Troyanskaya, O. G., Exploring the human genome with functional maps., Genome Res, vol. 19, no. 6, pp. 1093-106, 2009.
J. - T. Chi, Chang, H. Y., Haraldsen, G., Jahnsen, F. L., Troyanskaya, O. G., Chang, D. S., Wang, Z., Rockson, S. G., van de Rijn, M., Botstein, D., and Brown, P. O., Endothelial cell diversity revealed by global expression profiling., Proc Natl Acad Sci U S A, vol. 100, no. 19, pp. 10623-8, 2003.
V. N. Kristensen, Vaske, C. J., Ursini-Siegel, J., Van Loo, P., Nordgard, S. H., Sachidanandam, R., Sørlie, T., Wärnberg, F., Haakensen, V. D., Helland, Å., Naume, B., Perou, C. M., Haussler, D., Troyanskaya, O. G., and Børresen-Dale, A. - L., Integrated molecular profiles of invasive breast tumors and ductal carcinoma in situ (DCIS) reveal differential vascular and interleukin signaling., Proc Natl Acad Sci U S A, vol. 109, no. 8, pp. 2802-7, 2012.
C. Huttenhower, K Mutungu, T., Indik, N., Yang, W., Schroeder, M., Forman, J. J., Troyanskaya, O. G., and Coller, H. A., Detailing regulatory networks through large scale data integration., Bioinformatics, vol. 25, no. 24, pp. 3267-74, 2009.
Y. -suk Lee, Krishnan, A., Zhu, Q., and Troyanskaya, O. G., Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies., Bioinformatics, vol. 29, no. 23, pp. 3036-44, 2013.
M. L. Whitfield, Finlay, D. R., Murray, J. Isaac, Troyanskaya, O. G., Chi, J. - T., Pergamenschikov, A., McCalmont, T. H., Brown, P. O., Botstein, D., and M Connolly, K., Systemic and cell type-specific gene expression patterns in scleroderma skin., Proc Natl Acad Sci U S A, vol. 100, no. 21, pp. 12319-24, 2003.
S. P. Bohen, Troyanskaya, O. G., Alter, O., Warnke, R., Botstein, D., Brown, P. O., and Levy, R., Variation in gene expression patterns in follicular lymphoma and the response to rituximab., Proc Natl Acad Sci U S A, vol. 100, no. 4, pp. 1926-30, 2003.
M. A. Hibbs, Dirksen, N. C., Li, K., and Troyanskaya, O. G., Visualization methods for statistical analysis of microarray clusters., BMC Bioinformatics, vol. 6, p. 115, 2005.
A. A. Caudy, Guan, Y., Jia, Y., Hansen, C., DeSevo, C., Hayes, A. P., Agee, J., Alvarez-Dominguez, J. R., Arellano, H., Barrett, D., Bauerle, C., Bisaria, N., Bradley, P. H., J Breunig, S., Bush, E., Cappel, D., Capra, E., Chen, W., Clore, J., Combs, P. A., Doucette, C., Demuren, O., Fellowes, P., Freeman, S., Frenkel, E., Gadala-Maria, D., Gawande, R., Glass, D., Grossberg, S., Gupta, A., Hammonds-Odie, L., Hoisos, A., Hsi, J., Hsu, Y. - H. Huang, Inukai, S., Karczewski, K. J., Ke, X., Kojima, M., Leachman, S., Lieber, D., Liebowitz, A., Liu, J., Liu, Y., Martin, T., Mena, J., Mendoza, R., Myhrvold, C., Millian, C., Pfau, S., Raj, S., Rich, M., Rokicki, J., Rounds, W., Salazar, M., Salesi, M., Sharma, R., Silverman, S., Singer, C., Sinha, S., Staller, M., Stern, P., Tang, H., Weeks, S., Weidmann, M., Wolf, A., Young, C., Yuan, J., Crutchfield, C., McClean, M., Murphy, C. T., Llinás, M., Botstein, D., Troyanskaya, O. G., and Dunham, M. J., A new system for comparative functional genomics of Saccharomyces yeasts., Genetics, vol. 195, no. 1, pp. 275-87, 2013.
C. L. Myers, Dunham, M. J., Kung, S. Y., and Troyanskaya, O. G., Accurate detection of aneuploidies in array CGH and gene expression microarray data., Bioinformatics, vol. 20, no. 18, pp. 3533-43, 2004.
C. S. Greene and Troyanskaya, O. G., PILGRM: an interactive data-driven discovery platform for expert biologists., Nucleic Acids Res, vol. 39, no. Web Server issue, pp. W368-74, 2011.
O. G. Troyanskaya, Putting microarrays in a context: integrated analysis of diverse biological data., Brief Bioinform, vol. 6, no. 1, pp. 34-43, 2005.
F. Markowetz, Mulder, K. W., Airoldi, E. M., Lemischka, I. R., and Troyanskaya, O. G., Mapping dynamic histone acetylation patterns to gene expression in nanog-depleted murine embryonic stem cells., PLoS Comput Biol, vol. 6, no. 12, p. e1001034, 2010.
W. Ju, Greene, C. S., Eichinger, F., Nair, V., Hodgin, J. B., Bitzer, M., Lee, Y. -suk, Zhu, Q., Kehata, M., Li, M., Jiang, S., Rastaldi, M. Pia, Cohen, C. D., Troyanskaya, O. G., and Kretzler, M., Defining cell-type specificity at the transcriptional level in human disease., Genome Res, vol. 23, no. 11, pp. 1862-73, 2013.
F. Markowetz, Kostka, D., Troyanskaya, O. G., and Spang, R., Nested effects models for high-dimensional phenotyping screens., Bioinformatics, vol. 23, no. 13, pp. i305-12, 2007.
M. D. Chikina, Huttenhower, C., Murphy, C. T., and Troyanskaya, O. G., Global prediction of tissue-specific gene expression and context-dependent gene networks in Caenorhabditis elegans., PLoS Comput Biol, vol. 5, no. 6, p. e1000417, 2009.
P. H. Bradley, Brauer, M. J., Rabinowitz, J. D., and Troyanskaya, O. G., Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae., PLoS Comput Biol, vol. 5, no. 1, p. e1000270, 2009.
S. Y. Leung, Chen, X., Chu, K. M., Yuen, S. T., Mathy, J., Ji, J., S Y Chan, A., Li, R., Law, S., Troyanskaya, O. G., Tu, I. - P., Wong, J., So, S., Botstein, D., and Brown, P. O., Phospholipase A2 group IIA expression in gastric adenocarcinoma is associated with prolonged survival and less frequent metastasis., Proc Natl Acad Sci U S A, vol. 99, no. 25, pp. 16203-8, 2002.
C. L. Myers, Chen, X., and Troyanskaya, O. G., Visualization-based discovery and analysis of genomic aberrations in microarray data., BMC Bioinformatics, vol. 6, p. 146, 2005.
C. Huttenhower, Hibbs, M., Myers, C., and Troyanskaya, O. G., A scalable method for integration and functional analysis of multiple microarray datasets., Bioinformatics, vol. 22, no. 23, pp. 2890-7, 2006.
M. A. Hibbs, Hess, D. C., Myers, C. L., Huttenhower, C., Li, K., and Troyanskaya, O. G., Exploring the functional landscape of gene expression: directed search of large microarray compendia., Bioinformatics, vol. 23, no. 20, pp. 2692-9, 2007.
J. Zhou, Schor, I. E., Yao, V., Theesfeld, C. L., Marco-Ferreres, R., Tadych, A., Furlong, E. E. M., and Troyanskaya, O. G., Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development., PLoS Genet, vol. 15, no. 9, p. e1008382, 2019.
M. D. Chikina and Troyanskaya, O. G., Accurate quantification of functional analogy among close homologs., PLoS Comput Biol, vol. 7, no. 2, p. e1001074, 2011.
Gene Expression
M. A. Hibbs, Hess, D. C., Myers, C. L., Huttenhower, C., Li, K., and Troyanskaya, O. G., Exploring the functional landscape of gene expression: directed search of large microarray compendia., Bioinformatics, vol. 23, no. 20, pp. 2692-9, 2007.
J. Zhou, Theesfeld, C. L., Yao, K., Chen, K. M., Wong, A. K., and Troyanskaya, O. G., Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk., Nat Genet, vol. 50, no. 8, pp. 1171-1179, 2018.
O. G. Troyanskaya, Garber, M. E., Brown, P. O., Botstein, D., and Altman, R. B., Nonparametric methods for identifying differentially expressed genes in microarray data., Bioinformatics, vol. 18, no. 11, pp. 1454-61, 2002.
C. Huttenhower, Flamholz, A. I., Landis, J. N., Sahi, S., Myers, C. L., Olszewski, K. L., Hibbs, M. A., Siemers, N. O., Troyanskaya, O. G., and Coller, H. A., Nearest Neighbor Networks: clustering expression data based on gene neighborhoods., BMC Bioinformatics, vol. 8, p. 250, 2007.
J. Zhou, Park, C. Y., Theesfeld, C. L., Wong, A. K., Yuan, Y., Scheckel, C., Fak, J. J., Funk, J., Yao, K., Tajima, Y., Packer, A., Darnell, R. B., and Troyanskaya, O. G., Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk., Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
C. L. Myers, Chen, X., and Troyanskaya, O. G., Visualization-based discovery and analysis of genomic aberrations in microarray data., BMC Bioinformatics, vol. 6, p. 146, 2005.

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