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Journal Article
Liu Y, Morley M, Brandimarto J, Hannenhalli S, Hu Y, Ashley EA, Tang WHWilson, Moravec CS, Margulies KB, Cappola TP et al..  2015.  RNA-Seq identifies novel myocardial gene expression signatures of heart failure.. Genomics. 105(2):83-9.
Parker HS, Bravo HCorrada, Leek JT.  2014.  Removing batch effects for prediction problems with frozen surrogate variable analysis.. PeerJ. 2:e561.
Khan Z, Bloom JS, Amini S, Singh M, Perlman DH, Caudy AA, Kruglyak L.  2012.  Quantitative measurement of allele-specific protein expression in a diploid yeast hybrid by LC-MS.. Mol Syst Biol. 8:602.
Patella F, Schug ZT, Persi E, Neilson LJ, Erami Z, Avanzato D, Maione F, Hernandez-Fernaud JR, Mackay G, Zheng L et al..  2015.  Proteomics-based metabolic modeling reveals that fatty acid oxidation (FAO) controls endothelial cell (EC) permeability.. Mol Cell Proteomics. 14(3):621-34.
Khan Z., Bloom J.S, Garcia B.A, Singh M., Kruglyak L..  2009.  Protein quantification across hundreds of experimental conditions. Proceedings of the National Academy of Sciences. 106(37):15544-15548.
Khan Z., Ford M.J, Cusanovich D.A, Mitrano A., Pritchard J.K, Gilad Y..  2013.  Primate Transcript and Protein Expression Levels Evolve Under Compensatory Selection Pressures. Science. 342(6162):1100-1104.
Khan Z., Bloom J.S, Kruglyak L., Singh M..  2009.  A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays. Bioinformatics. 25(13):1609-1616.
Waisberg M, Cerqueira GC, Yager SB, Francischetti IMB, Lu J, Gera N, Srinivasan P, Miura K, Rada B, Lukszo J et al..  2012.  Plasmodium falciparum merozoite surface protein 1 blocks the proinflammatory protein S100P.. Proc Natl Acad Sci U S A. 109(14):5429-34.
Wang K, Das A, Xiong Z-M, Cao K, Hannenhalli S.  2015.  Phenotype-Dependent Coexpression Gene Clusters: Application to Normal and Premature Ageing. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12(1):30-39.
Khan Z, Herman RA, Wallen K, Balch T.  2005.  An outdoor 3-D visual tracking system for the study of spatial navigation and memory in rhesus monkeys.. Behav Res Methods. 37(3):453-63.
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HCorrada, Davis S, Gatto L, Girke T et al..  2015.  Orchestrating high-throughput genomic analysis with Bioconductor.. Nat Methods. 12(2):115-21.
Notebaart R.A, Szappanos B., Kintses B., Pal F., Gyorkei A., Bogos B., Lazar V., Spohn R., Bogos B., Wagner A. et al..  2014.  Network-level architecture and the evolutionary potential of underground metabolism. Proceedings of the National Academy of Sciences. 111(32):11762-11767.
Jerby-Arnon L, Ruppin E.  2015.  Moving ahead on harnessing synthetic lethality to fight cancer. Molecular & Cellular Oncology. 2(2):e977150.
Yizhak K., Chaneton B., Gottlieb E., Ruppin E..  2015.  Modeling cancer metabolism on a genome scale. Molecular Systems Biology. 11(6):817-817.
Aryee MJ, Jaffe AE, Corrada-Bravo H, Ladd-Acosta C, Feinberg AP, Hansen KD, Irizarry RA.  2014.  Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays.. Bioinformatics. 30(10):1363-9.
Bloom JS, Khan Z, Kruglyak L, Singh M, Caudy AA.  2009.  Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays. BMC Genomics. 10(1):221.
Khan Z, Balch T, Dellaert F.  2005.  MCMC-based particle filtering for tracking a variable number of interacting targets.. IEEE Trans Pattern Anal Mach Intell. 27(11):1805-19.
Khan Z, Balch T, Dellaert F.  2005.  MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(11):1805-1918.
Khan Z, Balch T, Dellaert F.  2006.  MCMC data association and sparse factorization updating for real time multitarget tracking with merged and multiple measurements.. IEEE Trans Pattern Anal Mach Intell. 28(12):1960-72.
Zarecki R, Oberhardt MA, Yizhak K, Wagner A, Segal EShtifman, Freilich S, Henry CS, Gophna U, Ruppin E.  2014.  Maximal Sum of Metabolic Exchange Fluxes Outperforms Biomass Yield as a Predictor of Growth Rate of Microorganisms. PLoS ONE. 9(5):e98372.
Timp W, Bravo HCorrada, McDonald OG, Goggins M, Umbricht C, Zeiger M, Feinberg AP, Irizarry RA.  2014.  Large hypomethylated blocks as a universal defining epigenetic alteration in human solid tumors.. Genome Med. 6(8):61.
Stempler S, Yizhak K, Ruppin E.  2014.  Integrating Transcriptomics with Metabolic Modeling Predicts Biomarkers and Drug Targets for Alzheimer's Disease. PLoS ONE. 9(8):e105383.
Pal LR, Yu C-H, Mount SM, Moult J.  2015.  Insights from GWAS: emerging landscape of mechanisms underlying complex trait disease.. BMC Genomics. 16 Suppl 8:S4.
Seaver SMD, Bradbury LMT, Frelin O, Zarecki R, Ruppin E, Hanson AD, Henry CS.  2015.  Improved evidence-based genome-scale metabolic models for maize leaf, embryo, and endosperm.. Front Plant Sci. 6:142.
Battle A., Khan Z., Wang S.H, Mitrano A., Ford M.J, Pritchard J.K, Gilad Y..  2015.  Impact of regulatory variation from RNA to protein. Science. 347(6222):664-667.

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