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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2019
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.
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.
2018
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. -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.
A. V. Rangan, McGrouther, C. C., Kelsoe, J., Schork, N., Stahl, E., Zhu, Q., Krishnan, A., Yao, V., Troyanskaya, O., Bilaloglu, S., Raghavan, P., Bergen, S., Jureus, A., and Landen, M., “A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data.”, PLoS Comput Biol, vol. 14, no. 5, p. e1006105, 2018.
2017
J. P. Nguyen, Linder, A. N., Plummer, G. S., Shaevitz, J. W., and Leifer, A. M., “Automatically tracking neurons in a moving and deforming brain.”, PLoS Comput Biol, vol. 13, no. 5, p. e1005517, 2017.
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.
S. Li, Stone, H. A., and Murphy, C. T., “A microfluidic device and automatic counting system for the study of C. elegans reproductive aging.”, Lab Chip, vol. 15, no. 2, pp. 524-31, 2015.
2014
C. P. Broedersz, Wang, X., Meir, Y., Loparo, J. J., Rudner, D. Z., and Wingreen, N. S., “Condensation and localization of the partitioning protein ParB on the bacterial chromosome.”, Proc Natl Acad Sci U S A, vol. 111, no. 24, pp. 8809-14, 2014.
J. Zhou and Troyanskaya, O. G., “Global quantitative modeling of chromatin factor interactions.”, PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
2013
D. Ghersi and Singh, M., “Disentangling function from topology to infer the network properties of disease genes.”, BMC Syst Biol, vol. 7, p. 5, 2013.
Y. Deng, Coen, P., Sun, M., and Shaevitz, J. W., “Efficient multiple object tracking using mutually repulsive active membranes.”, PLoS One, vol. 8, no. 6, p. e65769, 2013.
P. V. Gordon, Muratov, C. B., and Shvartsman, S. Y., “Local accumulation times for source, diffusion, and degradation models in two and three dimensions.”, J Chem Phys, vol. 138, no. 10, p. 104121, 2013.
S. R McIsaac, Silverman, S. J., Parsons, L., Xu, P., Briehof, R., McClean, M. N., and Botstein, D., “Visualization and analysis of mRNA molecules using fluorescence in situ hybridization in Saccharomyces cerevisiae.”, J Vis Exp, no. 76, p. e50382, 2013.
2012
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.
M. D. Chikina and Troyanskaya, O. G., “An effective statistical evaluation of ChIPseq dataset similarity.”, Bioinformatics, vol. 28, no. 5, pp. 607-13, 2012.
R. M. Cooper, Wingreen, N. S., and Cox, E. C., “An excitable cortex and memory model successfully predicts new pseudopod dynamics.”, PLoS One, vol. 7, no. 3, p. e33528, 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.
M. F. Clasquin, Melamud, E., and Rabinowitz, J. D., “LC-MS data processing with MAVEN: a metabolomic analysis and visualization engine.”, Curr Protoc Bioinformatics, vol. Chapter 14, p. Unit14.11, 2012.
2011
Z. Khan, Amini, S., Bloom, J. S., Ruse, C., Caudy, A. A., Kruglyak, L., Singh, M., Perlman, D. H., and Tavazoie, S., “Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.”, Genome Biol, vol. 12, no. 12, p. R122, 2011.
J. J. Zartman, Cheung, L. S., Niepielko, M. G., Bonini, C., Haley, B., Yakoby, N., and Shvartsman, S. Y., “Pattern formation by a moving morphogen source.”, Phys Biol, vol. 8, no. 4, p. 045003, 2011.
A. M. Berezhkovskii and Shvartsman, S. Y., “Physical interpretation of mean local accumulation time of morphogen gradient formation.”, J Chem Phys, vol. 135, no. 15, p. 154115, 2011.
A. Ochoa, Llinás, M., and Singh, M., “Using context to improve protein domain identification.”, BMC Bioinformatics, vol. 12, p. 90, 2011.
2010
M. E. Kavousanakis, Kanodia, J. S., Kim, Y., Kevrekidis, I. G., and Shvartsman, S. Y., “A compartmental model for the bicoid gradient.”, Dev Biol, vol. 345, no. 1, pp. 12-7, 2010.
C. H. Hansen, Sourjik, V., and Wingreen, N. S., “A dynamic-signaling-team model for chemotaxis receptors in Escherichia coli.”, Proc Natl Acad Sci U S A, vol. 107, no. 40, pp. 17170-5, 2010.
M. Wyart, Botstein, D., and Wingreen, N. S., “Evaluating gene expression dynamics using pairwise RNA FISH data.”, PLoS Comput Biol, vol. 6, no. 11, p. e1000979, 2010.
G. J. Stephens, Johnson-Kerner, B., Bialek, W., and Ryu, W. S., “From modes to movement in the behavior of Caenorhabditis elegans.”, PLoS One, vol. 5, no. 11, p. e13914, 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.
T. Mora and Wingreen, N. S., “Limits of sensing temporal concentration changes by single cells.”, Phys Rev Lett, vol. 104, no. 24, p. 248101, 2010.
E. Melamud, Vastag, L., and Rabinowitz, J. D., “Metabolomic analysis and visualization engine for LC-MS data.”, Anal Chem, vol. 82, no. 23, pp. 9818-26, 2010.
D. Gresham, Curry, B., Ward, A., D Gordon, B., Brizuela, L., Kruglyak, L., and Botstein, D., “Optimized detection of sequence variation in heterozygous genomes using DNA microarrays with isothermal-melting probes.”, Proc Natl Acad Sci U S A, vol. 107, no. 4, pp. 1482-7, 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.
P. Jiang and Singh, M., “SPICi: a fast clustering algorithm for large biological networks.”, Bioinformatics, vol. 26, no. 8, pp. 1105-11, 2010.
2009
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.
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.
Y. Deng and Shaevitz, J. W., “Effect of aberration on height calibration in three-dimensional localization-based microscopy and particle tracking.”, Appl Opt, vol. 48, no. 10, pp. 1886-90, 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.
J. Song and Singh, M., “How and when should interactome-derived clusters be used to predict functional modules and protein function?”, Bioinformatics, vol. 25, no. 23, pp. 3143-50, 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.
R. G. Endres and Wingreen, N. S., “Maximum likelihood and the single receptor.”, Phys Rev Lett, vol. 103, no. 15, p. 158101, 2009.
J. S. Bloom, Khan, Z., Kruglyak, L., Singh, M., and Caudy, A. A., “Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays.”, BMC Genomics, vol. 10, p. 221, 2009.
Z. Khan, Bloom, J. S., Kruglyak, L., and Singh, M., “A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays.”, Bioinformatics, vol. 25, no. 13, pp. 1609-16, 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.
J. A. Capra, Laskowski, R. A., Thornton, J. M., Singh, M., and Funkhouser, T. A., “Predicting protein ligand binding sites by combining evolutionary sequence conservation and 3D structure.”, PLoS Comput Biol, vol. 5, no. 12, p. e1000585, 2009.
Z. Khan, Bloom, J. S., Garcia, B. A., Singh, M., and Kruglyak, L., “Protein quantification across hundreds of experimental conditions.”, Proc Natl Acad Sci U S A, vol. 106, no. 37, pp. 15544-8, 2009.
T. Mora, Yu, H., Sowa, Y., and Wingreen, N. S., “Steps in the bacterial flagellar motor.”, PLoS Comput Biol, vol. 5, no. 10, p. e1000540, 2009.
2008
C. Huttenhower and Troyanskaya, O. G., “Assessing the functional structure of genomic data.”, Bioinformatics, vol. 24, no. 13, pp. i330-8, 2008.
P. A. DiMaggio, McAllister, S. R., Floudas, C. A., Feng, X. - J., Rabinowitz, J. D., and Rabitz, H. A., “Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies.”, BMC Bioinformatics, vol. 9, p. 458, 2008.
J. A. Capra and Singh, M., “Characterization and prediction of residues determining protein functional specificity.”, Bioinformatics, vol. 24, no. 13, pp. 1473-80, 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.
S. R. McAllister, Feng, X. - J., DiMaggio, P. A., Floudas, C. A., Rabinowitz, J. D., and Rabitz, H., “Descriptor-free molecular discovery in large libraries by adaptive substituent reordering.”, Bioorg Med Chem Lett, vol. 18, no. 22, pp. 5967-70, 2008.
L. S. Chen and Storey, J. D., “Eigen-R2 for dissecting variation in high-dimensional studies.”, Bioinformatics, vol. 24, no. 19, pp. 2260-2, 2008.
G. Tkačik, Callan, C. G., and Bialek, W., “Information capacity of genetic regulatory elements.”, Phys Rev E Stat Nonlin Soft Matter Phys, vol. 78, no. 1 Pt 1, p. 011910, 2008.
E. Banks, Nabieva, E., Peterson, R., and Singh, M., “NetGrep: fast network schema searches in interactomes.”, Genome Biol, vol. 9, no. 9, p. R138, 2008.
L. C. Osborne, Palmer, S. E., Lisberger, S. G., and Bialek, W., “The neural basis for combinatorial coding in a cortical population response.”, J Neurosci, vol. 28, no. 50, pp. 13522-31, 2008.
I. Nemenman, Lewen, G. D., Bialek, W., and van Steveninck, R. R. de Ruyte, “Neural coding of natural stimuli: information at sub-millisecond resolution.”, PLoS Comput Biol, vol. 4, no. 3, p. e1000025, 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.
J. M. Guberman, Fay, A., Dworkin, J., Wingreen, N. S., and Gitai, Z., “PSICIC: noise and asymmetry in bacterial division revealed by computational image analysis at sub-pixel resolution.”, PLoS Comput Biol, vol. 4, no. 11, p. e1000233, 2008.
G. Tkačik, Gregor, T., and Bialek, W., “The role of input noise in transcriptional regulation.”, PLoS One, vol. 3, no. 7, p. e2774, 2008.
H. Wang, Wingreen, N. S., and Mukhopadhyay, R., “Self-organized periodicity of protein clusters in growing bacteria.”, Phys Rev Lett, vol. 101, no. 21, p. 218101, 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.
J. W. Shaevitz, “Super-resolution for a 3D world.”, Nat Methods, vol. 5, no. 6, pp. 471-2, 2008.
2007
L. Qiao, Nachbar, R. B., Kevrekidis, I. G., and Shvartsman, S. Y., “Bistability and oscillations in the Huang-Ferrell model of MAPK signaling.”, PLoS Comput Biol, vol. 3, no. 9, pp. 1819-26, 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. W. Shaevitz and Fletcher, D. A., “Enhanced three-dimensional deconvolution microscopy using a measured depth-varying point-spread function.”, J Opt Soc Am A Opt Image Sci Vis, vol. 24, no. 9, pp. 2622-7, 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.
S. Goyal and Wingreen, N. S., “Growth-induced instability in metabolic networks.”, Phys Rev Lett, vol. 98, no. 13, p. 138105, 2007.
J. P. Huelsenbeck and Andolfatto, P., “Inference of population structure under a Dirichlet process model.”, Genetics, vol. 175, no. 4, pp. 1787-802, 2007.
O. G. Troyanskaya, “Integrated analysis of microarray results.”, Methods Mol Biol, vol. 382, pp. 429-37, 2007.
M. Coppey, Berezhkovskii, A. M., Kim, Y., Boettiger, A. N., and Shvartsman, S. Y., “Modeling the bicoid gradient: diffusion and reversible nuclear trapping of a stable protein.”, Dev Biol, vol. 312, no. 2, pp. 623-30, 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.
J. A. Capra and Singh, M., “Predicting functionally important residues from sequence conservation.”, Bioinformatics, vol. 23, no. 15, pp. 1875-82, 2007.
S. Heinicke, Livstone, M. S., Lu, C., Oughtred, R., Kang, F., Angiuoli, S. V., White, O., Botstein, D., and Dolinski, K., “The Princeton Protein Orthology Database (P-POD): a comparative genomics analysis tool for biologists.”, PLoS One, vol. 2, no. 8, p. e766, 2007.
2006
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.
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. 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.
R. G. Endres and Wingreen, N. S., “Weight matrices for protein-DNA binding sites from a single co-crystal structure.”, Phys Rev E Stat Nonlin Soft Matter Phys, vol. 73, no. 6 Pt 1, p. 061921, 2006.
2005
E. Kruus, Thumfort, P., Tang, C., and Wingreen, N. S., “Gibbs sampling and helix-cap motifs.”, Nucleic Acids Res, vol. 33, no. 16, pp. 5343-53, 2005.
W. Wang, J Cherry, M., Nochomovitz, Y., Jolly, E., Botstein, D., and Li, H., “Inference of combinatorial regulation in yeast transcriptional networks: a case study of sporulation.”, Proc Natl Acad Sci U S A, vol. 102, no. 6, pp. 1998-2003, 2005.
N. Slonim, Atwal, G. Singh, Tkačik, G., and Bialek, W., “Information-based clustering.”, Proc Natl Acad Sci U S A, vol. 102, no. 51, pp. 18297-302, 2005.
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. L. Kingsford, Chazelle, B., and Singh, M., “Solving and analyzing side-chain positioning problems using linear and integer programming.”, Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
J. W. Shaevitz, Block, S. M., and Schnitzer, M. J., “Statistical kinetics of macromolecular dynamics.”, Biophys J, vol. 89, no. 4, pp. 2277-85, 2005.
G. Wallace, Anshus, O. J., Bi, P., Chen, H., Chen, Y., Clark, D., Cook, P., Finkelstein, A., Funkhouser, T., Gupta, A., Hibbs, M., Li, K., Liu, Z., Samanta, R., Sukthankar, R., and Troyanskaya, O., “Tools and applications for large-scale display walls.”, IEEE Comput Graph Appl, vol. 25, no. 4, pp. 24-33, 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.
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.
E. Nabieva, Jim, K., Agarwal, A., Chazelle, B., and Singh, M., “Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps.”, Bioinformatics, vol. 21 Suppl 1, pp. i302-10, 2005.
2004
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.
T. Sharpee, Rust, N. C., and Bialek, W., “Analyzing neural responses to natural signals: maximally informative dimensions.”, Neural Comput, vol. 16, no. 2, pp. 223-50, 2004.
R. Osada, Zaslavsky, E., and Singh, M., “Comparative analysis of methods for representing and searching for transcription factor binding sites.”, Bioinformatics, vol. 20, no. 18, pp. 3516-25, 2004.
R. G. Endres, Schulthess, T. C., and Wingreen, N. S., “Toward an atomistic model for predicting transcription-factor binding sites.”, Proteins, vol. 57, no. 2, pp. 262-8, 2004.
2003
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.
E. Segal, Shapira, M., Regev, iv, A., Pe'er, D., Botstein, D., Koller, D., and Friedman, N., “Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data.”, Nat Genet, vol. 34, no. 2, pp. 166-76, 2003.
L. Batsilas, Berezhkovskii, A. M., and Shvartsman, S. Y., “Stochastic model of autocrine and paracrine signals in cell culture assays.”, Biophys J, vol. 85, no. 6, pp. 3659-65, 2003.
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.
2001
O. Troyanskaya, Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R., Botstein, D., and Altman, R. B., “Missing value estimation methods for DNA microarrays.”, Bioinformatics, vol. 17, no. 6, pp. 520-5, 2001.