S
Siva Sivaganesan
Researcher at University of Cincinnati
Publications - 61
Citations - 2204
Siva Sivaganesan is an academic researcher from University of Cincinnati. The author has contributed to research in topics: Prior probability & Bayesian probability. The author has an hindex of 18, co-authored 51 publications receiving 1986 citations. Previous affiliations of Siva Sivaganesan include University of Cincinnati Academic Health Center.
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Journal ArticleDOI
An overview of robust Bayesian analysis
James O. Berger,Elías Moreno,Luis R. Pericchi,M. Jesús Bayarri,José M. Bernardo,Juan Antonio Cano,Julián de la Horra,Jacinto Martín,David Rios-Insua,Bruno Betrò,Anirban DasGupta,Paul Gustafson,Larry Wasserman,Joseph B. Kadane,Cid Srinivasan,Michael Lavine,Anthony O'Hagan,Wolfgang Polasek,Christian P. Robert,Constantinos Goutis,Fabrizio Ruggeri,G. Salinetti,Siva Sivaganesan +22 more
TL;DR: An overview of the subject of robust Bayesian analysis is provided, one that is accessible to statisticians outside the field, and recent developments in the area are reviewed.
Journal ArticleDOI
Bayesian infinite mixture model based clustering of gene expression profiles.
TL;DR: A clustering procedure based on the Bayesian infinite mixture model and applied to clustering gene expression profiles that allows for incorporation of uncertainties involved in the model selection in the final assessment of confidence in similarities of expression profiles.
Journal ArticleDOI
The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations
Alexandra B Keenan,Sherry L. Jenkins,Kathleen M. Jagodnik,Simon Koplev,Edward He,Denis Torre,Zichen Wang,Anders B. Dohlman,Moshe C. Silverstein,Alexander Lachmann,Maxim V. Kuleshov,Avi Ma'ayan,Vasileios Stathias,Raymond Terryn,Daniel J. Cooper,Michele Forlin,Amar Koleti,Dusica Vidovic,Caty Chung,Stephan C. Schürer,Jouzas Vasiliauskas,Marcin Pilarczyk,Behrouz Shamsaei,Mehdi Fazel,Yan Ren,Wen Niu,Nicholas A. Clark,Shana White,Naim Al Mahi,Lixia Zhang,Michal Kouril,John F. Reichard,Siva Sivaganesan,Mario Medvedovic,Jaroslaw Meller,Rick J. Koch,Marc R. Birtwistle,Ravi Iyengar,Eric A. Sobie,Evren U. Azeloglu,Julia A. Kaye,Jeannette Osterloh,Kelly Haston,Jaslin Kalra,Steve Finkbiener,Jonathan Z. Li,Pamela Milani,Miriam Adam,Renan Escalante-Chong,Karen Sachs,Alexander LeNail,Divya Ramamoorthy,Ernest Fraenkel,Gavin Daigle,Uzma Hussain,Alyssa Coye,Jeffrey D. Rothstein,Dhruv Sareen,Loren Ornelas,Maria G. Banuelos,Berhan Mandefro,Ritchie Ho,Clive N. Svendsen,Ryan G. Lim,Jennifer Stocksdale,Malcolm Casale,Terri G. Thompson,Jie Wu,Leslie M. Thompson,Victoria Dardov,Vidya Venkatraman,Andrea Matlock,Jennifer E. Van Eyk,Jacob D. Jaffe,Malvina Papanastasiou,Aravind Subramanian,Todd R. Golub,Sean D. Erickson,Mohammad Fallahi-Sichani,Marc Hafner,Nathanael S. Gray,Jia-Ren Lin,Caitlin E. Mills,Jeremy L. Muhlich,Mario Niepel,Caroline E. Shamu,Elizabeth H. Williams,David Wrobel,Peter K. Sorger,Laura M. Heiser,Joe W. Gray,James E. Korkola,Gordon B. Mills,Mark A. LaBarge,Mark A. LaBarge,Heidi S. Feiler,Mark A. Dane,Elmar Bucher,Michel Nederlof,Damir Sudar,Sean M. Gross,David Kilburn,Rebecca Smith,Kaylyn Devlin,Ron Margolis,Leslie Derr,Albert Lee,Ajay Pillai +107 more
TL;DR: The LINCS program focuses on cellular physiology shared among tissues and cell types relevant to an array of diseases, including cancer, heart disease, and neurodegenerative disorders.
Journal ArticleDOI
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Maureen A. Sartor,Craig R. Tomlinson,Scott C. Wesselkamper,Siva Sivaganesan,George D. Leikauf,Mario Medvedovic,Mario Medvedovic +6 more
TL;DR: A Bayesian hierarchical normal model is used to define a novel Intensity-Based Moderated T-statistic (IBMT), which is completely data-dependent using empirical Bayes philosophy to estimate hyperparameters, and thus does not require specification of any free parameters.
Journal ArticleDOI
Ranges of posterior measures for priors with unimodal contaminations
Siva Sivaganesan,James O. Berger +1 more
TL;DR: In this paper, the authors consider the problem of robustness or sensitivity of given Bayesian posterior criteria to specification of the prior distribution, including the posterior mean, variance and probability of a set (for credible regions and hypothesis testing).