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A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics.

, , , , , and . J. Comput. Biol., 16 (8): 1183-1193 (2009)

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A maximum-likelihood approach to absolute protein quantification in mass spectrometry., , , , , , and . BCB, page 296-305. ACM, (2015)A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics., , , , , and . RECOMB, volume 4955 of Lecture Notes in Computer Science, page 167-180. Springer, (2008)A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics., , , , , and . J. Comput. Biol., 16 (8): 1183-1193 (2009)Separating the Causes and Consequences in Disease Transcriptome., , and . PSB, page 381-392. (2016)To Release or Not to Release: Evaluating Information Leaks in Aggregate Human-Genome Data., , , , , and . ESORICS, volume 6879 of Lecture Notes in Computer Science, page 607-627. Springer, (2011)Structure-based kernels for the prediction of catalytic residues and their involvement in human inherited disease., , , , , and . Bioinform., 26 (16): 1975-1982 (2010)Learning your identity and disease from research papers: information leaks in genome wide association study., , , , and . ACM Conference on Computer and Communications Security, page 534-544. ACM, (2009)Computational approaches to protein inference in shotgun proteomics., and . BMC Bioinform., 13 (S-16): S4 (2012)