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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, 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. Molecular Systems Biology. 8
Khan Z, Wang Y-C, Wieschaus EF, Kaschube M.  2014.  Quantitative 4D analyses of epithelial folding during Drosophila gastrulation.. Development. 141(14):2895-900.
Khan Z, Amini S, Bloom JS, Ruse C, Caudy AA, Kruglyak L, Singh M, Perlman DH, Tavazoie S.  2011.  Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.. Genome Biol. 12(12):R122.
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. Behavior Research Methods,Instruments & Computers. 37(3):453-463.
Khan Z., Balch T., Dellaert F..  2004.  A Rao-Blackwellized particle filter for eigentracking. Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
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.
Khan Z, Bloom JS, Kruglyak L, Singh M.  2009.  A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays.. Bioinformatics. 25(13):1609-16.
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, Ford MJ, Cusanovich DA, Mitrano A, Pritchard JK, Gilad Y.  2013.  Primate transcript and protein expression levels evolve under compensatory selection pressures.. Science. 342(6162):1100-4.
Khan Z, Bloom JS, Garcia BA, Singh M, Kruglyak L.  2009.  Protein quantification across hundreds of experimental conditions.. Proc Natl Acad Sci U S A. 106(37):15544-8.
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, Amini S, Bloom JS, Ruse C, Caudy AA, Kruglyak L, Singh M, Perlman DH, Tavazoie S.  2011.  Accurate proteome-wide protein quantification from high-resolution 15N mass spectra. Genome Biology. 12(12):R122.
Khan Z., Balch T., Dellaert F..  2006.  Multitarget Tracking with Split and Merged Measurements. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
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.
Khaladkar M., Smyda M., Hannenhalli S.  2011.  Epigenomic and RNA structural correlates of polyadenylation. RNA biologyRNA biology. 8
Khaladkar M, Hannenhalli S.  2012.  Functional Divergence of Gene Duplicates a Domain-centric view. BMC Evolutionary BiologyBMC Evolutionary Biology.
Kelley D.R, Kingsford C.  2011.  Extracting Between-Pathway Models from E-MAP Interactions Using Expected Graph Compression. Journal of Computational BiologyJournal of Computational Biology. 18
Kelley DR, Liu B, Delcher AL, Pop M., Salzberg SL.  2012.  Gene Prediction with Glimmer for Metagenomic Sequences Augmented by Classification and Clustering. Nucleic Acids ResearchNucl. Acids Res.Nucleic Acids ResearchNucl. Acids Res.. 40
Keeley MB, Wood MA, Isiegas C, Stein J, Hellman K, Hannenhalli S, Abel T.  2006.  Differential Transcriptional Response to Nonassociative and Associative Components of Classical Fear Conditioning in the Amygdala and Hippocampus. Learning & MemoryLearn. Mem.Learning & MemoryLearn. Mem.. 13
Kawahara A.Y, Ohshima I., Kawakita A., Regier J.C, Mitter C., Cummings MP, Davis D.R, Wagner D.L, De Prinis J., Lopez-Vaamonde C..  2011.  Increased gene sampling provides stronger support for higher-level groups within gracillariid leaf mining moths and relatives (Lepidoptera: Gracillariidae). BMC Evol BiolBMC Evol Biol. 11:182
Karathia H, Kingsford C, Girvan M, Hannenhalli S.  2016.  A pathway-centric view of spatial proximity in the 3D nucleome across cell lines. Scientific Reports. 6:39279.
Kanodia JS, Kim Y, Tomer R, Khan Z, Chung K, Storey JD, Lu H, Keller PJ, Shvartsman SY.  2011.  A computational statistics approach for estimating the spatial range of morphogen gradients.. Development. 138(22):4867-74.
Kanodia J.S, Kim Y., Tomer R., Khan Z., Chung K., Storey J.D, Lu H., Keller P.J, Shvartsman S.Y.  2011.  A computational statistics approach for estimating the spatial range of morphogen gradients. Development. 138(22):4867-4874.
Khan Z, Balch T, Dellaert F.  2004.  Lecture Notes in Computer ScienceComputer Vision - ECCV 2004An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets. 3024:279-290.

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