Year |
Citation |
Score |
2020 |
Redivo E, Nguyen HD, Gupta M. Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions Computational Statistics & Data Analysis. 152: 107040. DOI: 10.1016/J.Csda.2020.107040 |
0.326 |
|
2014 |
Lin H, Wang M, Brody JA, Bis JC, Dupuis J, Lumley T, McKnight B, Rice KM, Sitlani CM, Reid JG, Bressler J, Liu X, Davis BC, Johnson AD, O'Donnell CJ, ... ... Gupta M, et al. Strategies to design and analyze targeted sequencing data: cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. Circulation. Cardiovascular Genetics. 7: 335-43. PMID 24951659 DOI: 10.1161/Circgenetics.113.000350 |
0.354 |
|
2014 |
Lin H, Sinner MF, Brody JA, Arking DE, Lunetta KL, Rienstra M, Lubitz SA, Magnani JW, Sotoodehnia N, McKnight B, McManus DD, Boerwinkle E, Psaty BM, Rotter JI, Bis JC, ... ... Gupta M, et al. Targeted sequencing in candidate genes for atrial fibrillation: the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Targeted Sequencing Study. Heart Rhythm : the Official Journal of the Heart Rhythm Society. 11: 452-7. PMID 24239840 DOI: 10.1016/J.Hrthm.2013.11.012 |
0.371 |
|
2014 |
Gupta M. An evolutionary Monte Carlo algorithm for Bayesian block clustering of data matrices Computational Statistics & Data Analysis. 71: 375-391. DOI: 10.1016/J.Csda.2013.07.006 |
0.325 |
|
2013 |
Gelfond JA, Ibrahim JG, Gupta M, Chen MH, Cody JD. Differential expression analysis with global network adjustment. Bmc Bioinformatics. 14: 258. PMID 23968143 DOI: 10.1186/1471-2105-14-258 |
0.342 |
|
2012 |
Hendricks AE, Dupuis J, Gupta M, Logue MW, Lunetta KL. A comparison of gene region simulation methods. Plos One. 7: e40925. PMID 22815869 DOI: 10.1371/Journal.Pone.0040925 |
0.315 |
|
2012 |
Moser C, Gupta M. A generalized hidden Markov model for determining sequence-based predictors of nucleosome positioning. Statistical Applications in Genetics and Molecular Biology. 11: 1-23. PMID 22499697 DOI: 10.2202/1544-6115.1707 |
0.388 |
|
2012 |
Gupta M, Ray S. Sequence Pattern Discovery with Applications to Understanding Gene Regulation and Vaccine Design Handbook of Statistics. 28: 273-307. DOI: 10.1016/B978-0-44-451875-0.00011-7 |
0.376 |
|
2011 |
Gupta M, Cheung CL, Hsu YH, Demissie S, Cupples LA, Kiel DP, Karasik D. Identification of homogeneous genetic architecture of multiple genetically correlated traits by block clustering of genome-wide associations. Journal of Bone and Mineral Research : the Official Journal of the American Society For Bone and Mineral Research. 26: 1261-71. PMID 21611967 DOI: 10.1002/Jbmr.333 |
0.347 |
|
2011 |
Mitra R, Gupta M. A continuous-index Bayesian hidden Markov model for prediction of nucleosome positioning in genomic DNA. Biostatistics (Oxford, England). 12: 462-77. PMID 21193724 DOI: 10.1093/Biostatistics/Kxq077 |
0.416 |
|
2009 |
Gelfond JA, Gupta M, Ibrahim JG. A Bayesian hidden Markov model for motif discovery through joint modeling of genomic sequence and ChIP-chip data. Biometrics. 65: 1087-95. PMID 19210737 DOI: 10.1111/J.1541-0420.2008.01180.X |
0.423 |
|
2009 |
Cheng F, Hartmann S, Gupta M, Ibrahim JG, Vision TJ. A hierarchical model for incomplete alignments in phylogenetic inference. Bioinformatics (Oxford, England). 25: 592-8. PMID 19147663 DOI: 10.1093/Bioinformatics/Btp015 |
0.414 |
|
2009 |
Dworkis DA, Timofeev N, Milton JN, Hartley SW, Gupta M, Sebastiani P, Baldwin CT, Melista E, Parente J, Quillen K, Steinberg MH. A Genome-Wide Association Study of the Alloimmunization Responder Phenotype in Sickle Cell Disease. Blood. 114: 2551-2551. DOI: 10.1182/Blood.V114.22.2551.2551 |
0.324 |
|
2007 |
Gupta M. Generalized hierarchical markov models for the discovery of length-constrained sequence features from genome tiling arrays. Biometrics. 63: 797-805. PMID 17825011 DOI: 10.1111/J.1541-0420.2007.00760.X |
0.389 |
|
2007 |
Gupta M, Qu P, Ibrahim JG. A temporal hidden Markov regression model for the analysis of gene regulatory networks. Biostatistics (Oxford, England). 8: 805-20. PMID 17400597 DOI: 10.1093/Biostatistics/Kxm007 |
0.41 |
|
2007 |
Gupta M, Ibrahim JG. Variable selection in regression mixture modeling for the discovery of gene regulatory networks Journal of the American Statistical Association. 102: 867-880. DOI: 10.1198/016214507000000068 |
0.431 |
|
2006 |
Giresi PG, Gupta M, Lieb JD. Regulation of nucleosome stability as a mediator of chromatin function. Current Opinion in Genetics & Development. 16: 171-6. PMID 16503136 DOI: 10.1016/J.Gde.2006.02.003 |
0.365 |
|
2005 |
Gupta M, Liu JS. De novo cis-regulatory module elicitation for eukaryotic genomes Proceedings of the National Academy of Sciences of the United States of America. 102: 7079-7084. PMID 15883375 DOI: 10.1073/Pnas.0408743102 |
0.365 |
|
2004 |
Gupta M, Liu JS. Discussions on “A Bayesian Approach to DNA Sequence Segmentation” Biometrics. 60: 582-583. DOI: 10.1111/J.0006-341X.2004.206_3.X |
0.339 |
|
2003 |
Gupta M, Liu JS. Discovery of Conserved Sequence Patterns Using a Stochastic Dictionary Model Journal of the American Statistical Association. 98: 55-66. DOI: 10.1198/016214503388619094 |
0.35 |
|
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