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: Keyword is Models, Statistical  [Clear All Filters]
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Models, Statistical
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.
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.
G. J. Stephens, Mora, T., Tkačik, G., and Bialek, W., Statistical thermodynamics of natural images., Phys Rev Lett, vol. 110, no. 1, p. 018701, 2013.
N. Brenner, Agam, O., Bialek, W., and van Steveninck, Rde Ruyter, Statistical properties of spike trains: universal and stimulus-dependent aspects., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 66, no. 3 Pt 1, p. 031907, 2002.
R. Mukhopadhyay, Emberly, E., Tang, C., and Wingreen, N. S., Statistical mechanics of RNA folding: importance of alphabet size., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 68, no. 4 Pt 1, p. 041904, 2003.
W. Bialek, Cavagna, A., Giardina, I., Mora, T., Silvestri, E., Viale, M., and Walczak, A. M., Statistical mechanics for natural flocks of birds., Proc Natl Acad Sci U S A, vol. 109, no. 13, pp. 4786-91, 2012.
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. Tkačik, Gregor, T., and Bialek, W., The role of input noise in transcriptional regulation., PLoS One, vol. 3, no. 7, p. e2774, 2008.
I. S. Lossos, Czerwinski, D. K., Alizadeh, A. A., Wechser, M. A., Tibshirani, R., Botstein, D., and Levy, R., Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes., N Engl J Med, vol. 350, no. 18, pp. 1828-37, 2004.
D. L. Halligan, Eyre-Walker, A., Andolfatto, P., and Keightley, P. D., Patterns of evolutionary constraints in intronic and intergenic DNA of Drosophila., Genome Res, vol. 14, no. 2, pp. 273-9, 2004.
R. V. Kulkarni, Huang, K. Casey, Kloster, M., and Wingreen, N. S., Pattern formation within Escherichia coli: diffusion, membrane attachment, and self-interaction of MinD molecules., Phys Rev Lett, vol. 93, no. 22, p. 228103, 2004.
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.
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.
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.
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.
D. Straile, Eckmann, R., Jüngling, T., Thomas, G., and Löffler, H., Influence of climate variability on whitefish (Coregonus lavaretus) year-class strength in a deep, warm monomictic lake., Oecologia, vol. 151, no. 3, pp. 521-9, 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.
E. Emberly and Wingreen, N. S., Hourglass model for a protein-based circadian oscillator., Phys Rev Lett, vol. 96, no. 3, p. 038303, 2006.
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., 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.
L. Abouchar, Petkova, M. D., Steinhardt, C. R., and Gregor, T., Fly wing vein patterns have spatial reproducibility of a single cell., J R Soc Interface, vol. 11, no. 97, p. 20140443, 2014.
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.
J. D. Rabinowitz, Hsiao, J. J., Gryncel, K. R., Kantrowitz, E. R., Feng, X. - J., Li, G., and Rabitz, H., Dissecting enzyme regulation by multiple allosteric effectors: nucleotide regulation of aspartate transcarbamoylase., Biochemistry, vol. 47, no. 21, pp. 5881-8, 2008.
G. Tkačik and Bialek, W., Diffusion, dimensionality, and noise in transcriptional regulation., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 79, no. 5 Pt 1, p. 051901, 2009.
C. Huttenhower and Troyanskaya, O. G., Bayesian data integration: a functional perspective., Comput Syst Bioinformatics Conf, pp. 341-51, 2006.
J. D. Jensen, Thornton, K. R., and Andolfatto, P., An approximate bayesian estimator suggests strong, recurrent selective sweeps in Drosophila., PLoS Genet, vol. 4, no. 9, p. e1000198, 2008.
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.