| An overview of robust Bayesian analysis JO Berger, E Moreno, LR Pericchi, MJ Bayarri, JM Bernardo, JA Cano, ... Test 3 (1), 5-124, 1994 | 843 | 1994 |
| The library of integrated network-based cellular signatures NIH program: system-level cataloging of human cells response to perturbations AB Keenan, SL Jenkins, KM Jagodnik, S Koplev, E He, D Torre, Z Wang, ... Cell systems 6 (1), 13-24, 2018 | 485 | 2018 |
| Bayesian infinite mixture model based clustering of gene expression profiles M Medvedovic, S Sivaganesan Bioinformatics 18 (9), 1194-1206, 2002 | 418 | 2002 |
| Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments MA Sartor, CR Tomlinson, SC Wesselkamper, S Sivaganesan, ... BMC bioinformatics 7 (1), 538, 2006 | 304 | 2006 |
| Ranges of posterior measures for priors with unimodal contaminations S Sivaganesan, JO Berger The Annals of Statistics 17 (2), 868-889, 1989 | 213 | 1989 |
| Statistical assessment of mediational effects for logistic mediational models B Huang, S Sivaganesan, P Succop, E Goodman Statistics in medicine 23 (17), 2713-2728, 2004 | 114 | 2004 |
| Range of posterior measures for priors with arbitrary contaminations S Sivaganesan Communications in Statistics-Theory and Methods 17 (5), 1591-1612, 1988 | 56 | 1988 |
| A Bayesian subgroup analysis with a zero‐enriched Polya Urn scheme S Sivaganesan, PW Laud, P Müller Statistics in medicine 30 (4), 312-323, 2011 | 55 | 2011 |
| Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray dataset X Liu, S Sivaganesan, KY Yeung, J Guo, RE Bumgarner, M Medvedovic Bioinformatics 22 (14), 1737-1744, 2006 | 50 | 2006 |
| Robust Bayesian diagnostics S Sivaganesan Journal of Statistical Planning and Inference 35 (2), 171-188, 1993 | 50 | 1993 |
| Subgroup finding via Bayesian additive regression trees S Sivaganesan, P Müller, B Huang Statistics in medicine 36 (15), 2391-2403, 2017 | 49 | 2017 |
| On modeling change points in non-homogeneous Poisson processes F Ruggeri, S Sivaganesan Statistical Inference for Stochastic Processes 8 (3), 311-329, 2005 | 49 | 2005 |
| A semi-parametric Bayesian model for unsupervised differential co-expression analysis JM Freudenberg, S Sivaganesan, M Wagner, M Medvedovic BMC bioinformatics 11 (1), 234, 2010 | 46 | 2010 |
| Sensitivity of some posterior summaries when the prior is unimodal with specified quantiles S Sivaganesan Canadian Journal of Statistics 19 (1), 57-65, 1991 | 44 | 1991 |
| Global and local robustness approaches: uses and limitations S Sivaganesan Robust Bayesian Analysis, 89-108, 2000 | 43 | 2000 |
| On a global sensitivity measure for Bayesian inference F Ruggeri, S Sivaganesan Sankhyā: The Indian Journal of Statistics, Series A, 110-127, 2000 | 37 | 2000 |
| Genome-wide signatures of transcription factor activity: connecting transcription factors, disease, and small molecules J Chen, Z Hu, M Phatak, J Reichard, JM Freudenberg, S Sivaganesan, ... PLoS computational biology 9 (9), e1003198, 2013 | 36 | 2013 |
| Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data X Liu, WJ Jessen, S Sivaganesan, BJ Aronow, M Medvedovic BMC bioinformatics 8 (1), 283, 2007 | 36 | 2007 |
| Robust Bayesian analysis of the binomial empirical Bayes problem S Sivaganesan, J Berger Canadian Journal of Statistics 21 (1), 107-119, 1993 | 34 | 1993 |
| Testing hypotheses about the power law process under failure truncation using intrinsic Bayes factors RT Lingham, S Sivaganesan Annals of the Institute of Statistical Mathematics 49 (4), 693-710, 1997 | 31 | 1997 |
