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: Author is Troyanskaya, Olga G  [Clear All Filters]
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.
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.
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.
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.
A. Chi, Huttenhower, C., Geer, L. Y., Coon, J. J., Syka, J. E. P., Bai, D. L., Shabanowitz, J., Burke, D. J., Troyanskaya, O. G., and Hunt, D. F., Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry., Proc Natl Acad Sci U S A, vol. 104, no. 7, pp. 2193-8, 2007.
F. Markowetz and Troyanskaya, O. G., Computational identification of cellular networks and pathways., Mol Biosyst, vol. 3, no. 7, pp. 478-82, 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.
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.
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.
O. G. Troyanskaya, Integrated analysis of microarray results., Methods Mol Biol, vol. 382, pp. 429-37, 2007.
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.
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.
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. 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.
L. Peña-Castillo, Tasan, M., Myers, C. L., Lee, H., Joshi, T., Zhang, C., Guan, Y., Leone, M., Pagnani, A., Kim, W. Kyu, Krumpelman, C., Tian, W., Obozinski, G., Qi, Y., Mostafavi, S., Lin, G. Ning, Berriz, G. F., Gibbons, F. D., Lanckriet, G., Qiu, J., Grant, C., Barutcuoglu, Z., Hill, D. P., Warde-Farley, D., Grouios, C., Ray, D., Blake, J. A., Deng, M., Jordan, M. I., Noble, W. S., Morris, Q., Klein-Seetharaman, J., Bar-Joseph, iv, Z., Chen, T., Sun, F., Troyanskaya, O. G., Marcotte, E. M., Xu, D., Hughes, T. R., and Roth, F. P., A critical assessment of Mus musculus gene function prediction using integrated genomic evidence., Genome Biol, vol. 9 Suppl 1, p. S2, 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., Hess, D. C., Barutcuoglu, Z., Caudy, A. A., and Troyanskaya, O. G., Predicting gene function in a hierarchical context with an ensemble of classifiers., Genome Biol, vol. 9 Suppl 1, p. S3, 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.
Z. Barutcuoglu, Airoldi, E. M., Dumeaux, V., Schapire, R. E., and Troyanskaya, O. G., Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields., Bioinformatics, vol. 25, no. 10, pp. 1307-13, 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.
D. C. Hess, Myers, C. L., Huttenhower, C., Hibbs, M. A., Hayes, A. P., Paw, J., Clore, J. J., Mendoza, R. M., San Luis, B., Nislow, C., Giaever, G., Costanzo, M., Troyanskaya, O. G., and Caudy, A. A., Computationally driven, quantitative experiments discover genes required for mitochondrial biogenesis., PLoS Genet, vol. 5, no. 3, p. e1000407, 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.
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.
M. A. Hibbs, Myers, C. L., Huttenhower, C., Hess, D. C., Li, K., Caudy, A. A., and Troyanskaya, O. G., Directing experimental biology: a case study in mitochondrial biogenesis., PLoS Comput Biol, vol. 5, no. 3, p. e1000322, 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.
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.
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.
C. Huttenhower, Mehmood, S. O., and Troyanskaya, O. G., Graphle: Interactive exploration of large, dense graphs., BMC Bioinformatics, vol. 10, p. 417, 2009.
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.
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.
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.
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.
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. 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. S. Greene and Troyanskaya, O. G., Integrative systems biology for data-driven knowledge discovery., Semin Nephrol, vol. 30, no. 5, pp. 443-54, 2010.
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.
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.
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. 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.
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.
M. D. Chikina and Troyanskaya, O. G., An effective statistical evaluation of ChIPseq dataset similarity., Bioinformatics, vol. 28, no. 5, pp. 607-13, 2012.
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.
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. 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.
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.
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. 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.
M. Ragle Aure, Leivonen, S. - K., Fleischer, T., Zhu, Q., Overgaard, J., Alsner, J., Tramm, T., Louhimo, R., Alnæs, G. I. Grenaker, Perälä, M., Busato, F., Touleimat, N., Tost, J., Børresen-Dale, A. - L., Hautaniemi, S., Troyanskaya, O. G., Lingjærde, O. Christian, Sahlberg, K. Kleivi, and Kristensen, V. N., Individual and combined effects of DNA methylation and copy number alterations on miRNA expression in breast tumors., Genome Biol, vol. 14, no. 11, p. R126, 2013.
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. -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.
J. Goya, Wong, A. K., Yao, V., Krishnan, A., Homilius, M., and Troyanskaya, O. G., FNTM: a server for predicting functional networks of tissues in mouse., Nucleic Acids Res, 2015.
A. K. Wong, Krishnan, A., Yao, V., Tadych, A., and Troyanskaya, O. G., IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks., Nucleic Acids Res, 2015.
K. Dolinski and Troyanskaya, O. G., Implications of Big Data for cell biology., Mol Biol Cell, vol. 26, no. 14, pp. 2575-8, 2015.
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, Gerald, C. P., Li, X., Ge, Y., Pincas, H., Nair, V. D., Wong, A. K., Krishnan, A., Troyanskaya, O. G., Raymond, D., Saunders-Pullman, R., Bressman, S. B., Yue, Z., and Sealfon, S. C., Low-variance RNAs identify Parkinson's disease molecular signature in blood., Mov Disord, vol. 30, no. 6, pp. 813-21, 2015.
J. Zhou and Troyanskaya, O. G., Predicting effects of noncoding variants with deep learning-based sequence model., Nat Methods, 2015.
Q. Zhu, Wong, A. K., Krishnan, A., Aure, M. R., Tadych, A., Zhang, R., Corney, D. C., Greene, C. S., Bongo, L. A., Kristensen, V. N., Charikar, M., Li, K., and Troyanskaya, O. G., Targeted exploration and analysis of large cross-platform human transcriptomic compendia., Nat Methods, vol. 12, no. 3, pp. 211-4, 3 p following 214, 2015.
C. S. Greene, Krishnan, A., Wong, A. K., Ricciotti, E., Zelaya, R. A., Himmelstein, D. S., Zhang, R., Hartmann, B. M., Zaslavsky, E., Sealfon, S. C., Chasman, D. I., FitzGerald, G. A., Dolinski, K., Grosser, T., and Troyanskaya, O. G., Understanding multicellular function and disease with human tissue-specific networks., Nat Genet, vol. 47, no. 6, pp. 569-76, 2015.
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. M. Roberts, Wong, A. K., Fisk, I., and Troyanskaya, O. G., GIANT API: an application programming interface for functional genomics., Nucleic Acids Res, 2016.
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.
E. Watson, Olin-Sandoval, V., Hoy, M. J., Li, C. - H., Louisse, T., Yao, V., Mori, A., Holdorf, A. D., Troyanskaya, O. G., Ralser, M., and Walhout, A. Jm, Metabolic network rewiring of propionate flux compensates vitamin B12 deficiency in C. elegans., Elife, vol. 5, 2016.
J. Zhou and Troyanskaya, O. G., Probabilistic modelling of chromatin code landscape reveals functional diversity of enhancer-like chromatin states., Nat Commun, vol. 7, p. 10528, 2016.
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.
Y. -suk Lee, Krishnan, A., Oughtred, R., Rust, J., Chang, C. S., Ryu, J., Kristensen, V. N., Dolinski, K., Theesfeld, C. L., and Troyanskaya, O. G., A Computational Framework for Genome-wide Characterization of the Human Disease Landscape., Cell Syst, vol. 8, no. 2, pp. 152-162.e6, 2019.
D. Sargin, Chottekalapanda, R. U., Perit, K. E., Yao, V., Chu, D., Sparks, D. W., Kalik, S., Power, S. K., Troyanskaya, O. G., Schmidt, E. F., Greengard, P., and Lambe, E. K., Mapping the physiological and molecular markers of stress and SSRI antidepressant treatment in S100a10 corticostriatal neurons., Mol Psychiatry, 2019.
P. H. Bradley, Gibney, P. A., Botstein, D., Troyanskaya, O. G., and Rabinowitz, J. D., Minor Isozymes Tailor Yeast Metabolism to Carbon Availability., mSystems, vol. 4, no. 1, 2019.
J. L. Harder, Menon, R., Otto, E. A., Zhou, J., Eddy, S., Wys, N. L., O'Connor, C., Luo, J., Nair, V., Cebrián, C., Spence, J. R., Bitzer, M., Troyanskaya, O. G., Hodgin, J. B., Wiggins, R. C., Freedman, B. S., and Kretzler, M., Organoid single cell profiling identifies a transcriptional signature of glomerular disease., JCI Insight, vol. 4, no. 1, 2019.
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. 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.