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

Filters: First Letter Of Keyword is D and Author is Troyanskaya, Olga G  [Clear All Filters]
Journal Article
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., “Accurate evaluation and analysis of functional genomics data and methods.”, Ann N Y Acad Sci, vol. 1260, pp. 95-100, 2012.
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.
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. 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.
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.
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.
C. L. Myers and Troyanskaya, O. G., “Context-sensitive data integration and prediction of biological networks.”, Bioinformatics, vol. 23, no. 17, pp. 2322-30, 2007.
C. L. Myers and Troyanskaya, O. G., “Context-sensitive data integration and prediction of biological networks.”, Bioinformatics, vol. 23, no. 17, pp. 2322-30, 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.
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.
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, Chiriac, C., and Troyanskaya, O. G., “Discovering biological networks from diverse functional genomic data.”, Methods Mol Biol, vol. 563, pp. 157-75, 2009.
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.
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.
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.
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, 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.
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.
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.
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.
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.
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.
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.
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. 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 and Troyanskaya, O. G., “Global quantitative modeling of chromatin factor interactions.”, PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
R. S. G. Sealfon, Hibbs, M. A., Huttenhower, C., Myers, C. L., and Troyanskaya, O. G., “GOLEM: an interactive graph-based gene-ontology navigation and analysis tool.”, BMC Bioinformatics, vol. 7, p. 443, 2006.
R. S. G. Sealfon, Hibbs, M. A., Huttenhower, C., Myers, C. L., and Troyanskaya, O. G., “GOLEM: an interactive graph-based gene-ontology navigation and analysis tool.”, BMC Bioinformatics, vol. 7, p. 443, 2006.
R. S. G. Sealfon, Hibbs, M. A., Huttenhower, C., Myers, C. L., and Troyanskaya, O. G., “GOLEM: an interactive graph-based gene-ontology navigation and analysis tool.”, BMC Bioinformatics, vol. 7, p. 443, 2006.
C. Huttenhower, Mehmood, S. O., and Troyanskaya, O. G., “Graphle: Interactive exploration of large, dense graphs.”, BMC Bioinformatics, vol. 10, p. 417, 2009.
Z. Barutcuoglu, Schapire, R. E., and Troyanskaya, O. G., “Hierarchical multi-label prediction of gene function.”, Bioinformatics, vol. 22, no. 7, pp. 830-6, 2006.
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.
C. Huttenhower, Hibbs, M. A., Myers, C. L., Caudy, A. A., Hess, D. C., and Troyanskaya, O. G., “The impact of incomplete knowledge on evaluation: an experimental benchmark for protein function prediction.”, Bioinformatics, vol. 25, no. 18, pp. 2404-10, 2009.
O. G. Troyanskaya, “Integrated analysis of microarray results.”, Methods Mol Biol, vol. 382, pp. 429-37, 2007.
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. S. Greene and Troyanskaya, O. G., “Integrative systems biology for data-driven knowledge discovery.”, Semin Nephrol, vol. 30, no. 5, pp. 443-54, 2010.
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, 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, 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.
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.
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.
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.
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. 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.
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.
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.
O. G. Troyanskaya, “Putting the 'bio' into bioinformatics.”, Genome Biol, vol. 6, no. 10, p. 351, 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.
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.
O. G. Troyanskaya, Arbell, O., Koren, Y., Landau, G. M., and Bolshoy, A., “Sequence complexity profiles of prokaryotic genomic sequences: a fast algorithm for calculating linguistic complexity.”, Bioinformatics, vol. 18, no. 5, pp. 679-88, 2002.
O. G. Troyanskaya, Arbell, O., Koren, Y., Landau, G. M., and Bolshoy, A., “Sequence complexity profiles of prokaryotic genomic sequences: a fast algorithm for calculating linguistic complexity.”, Bioinformatics, vol. 18, no. 5, pp. 679-88, 2002.
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.
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.
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.
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.
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.
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.