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Riten Mitra, PhD

mitra r  Bioinformatics and Biostatistics

Role: Faculty
Title: Assistant Professor
Office No: Rm 122
Address: 485 E. Gray St
Phone: (502) 852-3986
Fax: (502) 852-3294


Background Information
I completed my undergraduate and Masters from Indian Statistical Institute, Kolkata. I earned my Ph.D in Biostatistics from the University of North Carolina at Chapel Hill in 2010. From 2010-12, I was a postdoctoral fellow in the Biostatistics department at MD Anderson Cancer Center from 2010-12 and at UT Austin from 2012-13. I joined UoFL in Fall, 2013.

Research Interests
My primary research interests are in Bayesian Graphical Models and developing hierarchical latent variable techniques for next generation sequencing data. I am currently focussing on network inference problems in epigenetics (histone modifications) and high throughput proteomics. I also have a strong interest in NP-Bayes clustering algorithms. Recently I have been involved in formulating NP-Bayes models for subgroup analysis and clinical trials.

Publications: Journal Articles 

Bayesian Nonparametric Inference: Why and How?-Mueller P. and Mitra R. Bayesian Analysis, Volume 8, Issue 2, 2013

BM-BC: a Bayesian method of base calling for Solexa sequence data- Ji Y, Mitra R, Quintana F, Jara A, Mueller P, Liu P, Lu Y, Liang S BMC Bioinformatics. 13 Suppl 13:S6, 2012. 

A continuous-index Bayesian hidden Markov model for prediction of nucleosome positioning in genomic DNA.- Mitra R, Gupta,M. Biostatistics 2011 Jul;12(3):462-77.

A Bayesian Graphical Model for ChIP-Seq Data on Histone Modifications -Mitra R, Mueller, P, Liang, S, Yue, L, Ji Y. Journal of American Statistical Association Volume 108, Issue 501, 2013 

Propriety conditions for the Bayesian autologistic model – Inference for histone modifications- Mitra, R., Mueller, P., Ji, Y. Journal of Statistical Planning and Inference. Volume 7, Issue 2, 2013

Sparse Bayesian Graphical Models for RPPA Time Course Data - Mitra R, Mueller P, Ji Y, Mills G, Lu Y. In 2012 IEEE International Workshop on Genomic Signal Processing and Statistics. 

A Bayesian Graphical Model for Integrative Analysis of TCGA Data- Xu Y, Zhang J, Yuan Y, Mitra R, Mueller P, Ji Y In 2012 IEEE International Workshop on Genomic Signal Processing and Statistics.

Toward breaking the histone code: bayesian graphical models for histone modifications. Mitra R, Müller P, Liang S, Xu Y, Ji Y. Circulation Cardiovascular Genetics. August,2013 

Nonparametric Bayesian Bi-Clustering for Next Generation Sequencing Count Data -Yanxun Xu, Juhee Lee „, Yuan Yuan …, Riten Mitra Shoudan Liang, Peter Mueller and Yuan Ji . Bayesian Analysis, In Press

Bayesian Model-Based. Approaches. for Solexa. Sequencing. Data- RITEN MITRA, PETER MUELLER, AND YUAN JI, Chapter 6, Advances in Statistical Bioinformatics, Cambridge University Press
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