Siva Sivaganesan

发表

Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data

Mario Medvedovic, Xiangdong Liu, Walter J. Jessen, 2007, BMC Bioinformatics.

Bayesian infinite mixture model based clustering of gene expression profiles

Mario Medvedovic, Siva Sivaganesan, M. Medvedovic, 2002, Bioinform..

Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments

Mario Medvedovic, Siva Sivaganesan, Maureen A. Sartor, 2006, BMC Bioinformatics.

Predicting mechanism of action of cellular perturbations with pathway activity signatures

Mario Medvedovic, Siva Sivaganesan, Yan Ren, 2019, bioRxiv.

Generalized random set framework for functional enrichment analysis using primary genomics datasets

Mario Medvedovic, Siva Sivaganesan, Mukta Phatak, 2011, Bioinform..

Global and Local Robustness Approaches: Uses and Limitations

Siva Sivaganesan, S. Sivaganesan, 2000 .

The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations.

Ravi Iyengar, Vasileios Stathias, Amar Koleti, 2017, Cell systems.

Prior Information Based Bayesian Infinite Mixture Model

Zhen Hu, Mario Medvedovic, Siva Sivaganesan, 2010, ISAIM.

An Introduction to the Bootstrap (Bradley Efron and Robert J. Tibshirani)

Siva Sivaganesan, S. Sivaganesan, 1994, SIAM Rev..

Genome-Wide Signatures of Transcription Factor Activity: Connecting Transcription Factors, Disease, and Small Molecules

Jing Chen, Zhen Hu, Mario Medvedovic, 2013, PLoS Comput. Biol..

Biclustering of medical monitoring data using a nonparametric hierarchical Bayesian model

Siva Sivaganesan, Rhonda D. Szczesniak, Yan Ren, 2020, Stat.

An overview of robust Bayesian analysis

James O. Berger, Christian P. Robert, Larry Wasserman, 1994 .

Predictive Inference: An Introduction (Seymour Geisser)

Siva Sivaganesan, 1994, SIAM Rev..

Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray dataset

Ka Yee Yeung, Mario Medvedovic, Xiangdong Liu, 2006, Bioinform..

A semi-parametric Bayesian model for unsupervised differential co-expression analysis

Mario Medvedovic, Siva Sivaganesan, Michael Wagner, 2010, BMC Bioinformatics.

Sensitivity of some posterior summaries when the prior is unimodal with specified quantiles

Siva Sivaganesan, S. Sivaganesan, 1991 .

Supplemental Information Bayesian context-specific infinite mixture model for clustering of gene expression profiles across diverse microarray datasets

Ka Yee Yeung, Mario Medvedovic, Siva Sivaganesan, 2006 .

On Modeling Change Points in Non-Homogeneous Poisson Processes

Siva Sivaganesan, Fabrizio Ruggeri, F. Ruggeri, 2005 .

Optimal robust credible sets for contaminated priors

James O. Berger, Siva Sivaganesan, L. Mark Berliner, 1993 .

SENSITIVITY OF POSTERIOR MEAN TO UNIMODALITY PRESERVING CONTAMINATIONS

Siva Sivaganesan, S. Sivaganesan, 1989 .

On a Global Sensitivity Measure for Bayesian Inference

Siva Sivaganesan, Fabrizio Ruggeri, 2007 .

Range of posterior measures for priors with arbitrary contaminations

Siva Sivaganesan, S. Sivaganesan, 1988 .

Bayes factors for a test about the drift of the Brownian motion under noninformative priors

Siva Sivaganesan, Rama T. Lingham, 2000 .

Bounds on posterior expectations for density bounded class with constant bandwidth

Siva Sivaganesan, S. Sivaganesan, 1994 .

Range of the posterior probability of an interval for priors with unimodality preserving contaminations

Siva Sivaganesan, S. Sivaganesan, 1993 .

Intrinsic Bayes factor approach to a test for the power law process

Siva Sivaganesan, S. Sivaganesan, Rama T. Lingham, 1999 .

Robust Bayesian analysis of the binomial empirical Bayes problem

James O. Berger, Siva Sivaganesan, J. Berger, 1993 .

Statistical assessment of mediational effects for logistic mediational models

Siva Sivaganesan, Elizabeth Goodman, Bin Huang, 2004, Statistics in medicine.