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]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Artificial Intelligence
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.
Area Under Curve
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. Huttenhower and Troyanskaya, O. G., “Bayesian data integration: a functional perspective.”, Comput Syst Bioinformatics Conf, pp. 341-51, 2006.
J. Zhou and Troyanskaya, O. G., “Global quantitative modeling of chromatin factor interactions.”, PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
Arabidopsis
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.
Antineoplastic Agents
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.
Antigens, CD20
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.
Antibodies, Monoclonal, Murine-Derived
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.
Antibodies, Monoclonal
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.
Animals
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. 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.
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.
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.
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.
J. Zhou and Troyanskaya, O. G., “Global quantitative modeling of chromatin factor interactions.”, PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
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.
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. S. Greene and Troyanskaya, O. G., “Integrative systems biology for data-driven knowledge discovery.”, Semin Nephrol, vol. 30, no. 5, pp. 443-54, 2010.
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.
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.
O. G. Troyanskaya, “Integrated analysis of microarray results.”, Methods Mol Biol, vol. 382, pp. 429-37, 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, 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.
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.
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.
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.
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.
Aneuploidy
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.
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.
Amino Acids
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.
Alzheimer Disease
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.
Alleles
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.
Algorithms
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.
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. 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. 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.
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.
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.
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.
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. -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, 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.
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.
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 and Troyanskaya, O. G., “Bayesian data integration: a functional perspective.”, Comput Syst Bioinformatics Conf, pp. 341-51, 2006.
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, 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.
J. Zhou and Troyanskaya, O. G., “Global quantitative modeling of chromatin factor interactions.”, PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
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. 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, 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.
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.
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. L. Myers and Troyanskaya, O. G., “Context-sensitive data integration and prediction of biological networks.”, Bioinformatics, vol. 23, no. 17, pp. 2322-30, 2007.
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.
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.
O. G. Troyanskaya, “Integrated analysis of microarray results.”, Methods Mol Biol, vol. 382, pp. 429-37, 2007.
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.
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, 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 and Troyanskaya, O. G., “An effective statistical evaluation of ChIPseq dataset similarity.”, Bioinformatics, vol. 28, no. 5, pp. 607-13, 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.
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.
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.
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.
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. 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.
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.
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.
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.
Aged
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.
Adult
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. 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.
Adenocarcinoma
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.
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.
Adaptor Protein Complex beta Subunits
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.
Adaptor Protein Complex 3
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.
Actins
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.
Acetylation
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.

Pages