Riten Mitra, PhD

Riten MitraBioinformatics and Biostatistics

Assistant Professor
Room No.122, 485 E. Gray St.
Louisville, KY 40202
Phone: 502-852-3986
Fax: 502-852-3294
r0mitr01@louisville.edu

 

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 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
1. Mitra R., Mueller P., Ji Y., Peng, Q. Bayesian Hierarchical Models for Protein Networks in Single Cell Mass Cytometry Accepted, 2014, Cancer Informatics
2. Mitra R., Mueller P., Ji Y., Zhu Y., Mills G, Lu Y. A Bayesian Hierarchical Model for Inference Across Related RPPA Experiments. Journal of Applied Statistics, 2014 DOI:10.1080/02664763.2014.920776
3. Mueller P. , Mitra R. Bayesian Nonparametric Inference: Why and How? Bayesian Analysis, 2013
4. Mitra, R., Mueller, P., Liang, S., Yue, L. , Ji, Y. A Bayesian graphical model for ChIP- Seq data on Histone Modications Journal of American Statistical Association, 108: 69-80, 03/2013.
5. Mitra R., Mueller P., Liang S., Xu Y., Ji Y. Towards Breaking the Histone Code: Bayesian Graphical Models for Histone Modications. Circulation: Cardiovascular Genetics, 2013
6. Xu Y., Lee J., Yuan Y., Mitra R., Liang S., Mueller P., Ji Y. Nonparametric Bayesian Bi-Clustering for ChIP-Seq Count Data. Bayesian Analysis. 8(2):1-22, 2013.
7. Mitra, R., Mueller, P., Ji, Y Propriety conditions for the Bayesian autologistic model Journal of Statistical Theory and Practice. 7(2):248-258, 2013.
8. Mitra, R., Mueller, P., Ji, Y. Bayesian Model-Based Approaches for Solexa Sequencing Data In Advances in Statistical Bioinformatics (edited by Do KA, Qin ZS, Vannucci M). 2013.
9. Xu Y, Zhang J, Yuan Y, Mitra R, Mueller P, Ji Y. A Bayesian Graphical Model for Integrative Analysis of TCGA Data. In 2012 IEEE International Workshop on Genomic Signal Processing and Statistics.
10. Mitra R., Mueller P., Ji Y., Mills G, Lu Y. Sparse Bayesian Graphical Models for RPPA Time Course Data. In 2012 IEEE International Workshop on Genomic Signal Processing and Statistics.
11. Ji Y, Mitra R, Quintana F, Jara A, Mueller P, Liu P, Lu Y, Liang S. BM-BC : Bayesian base calling for Solexa sequence data. BMC Bioinformatics. 13 Suppl 13:S6, 2012
12. Mitra, R. , Gupta, M. A continuous-index Bayesian hidden Markov model for prediction of nucleosome positioning in genomic DNA Biostatistics 2011 Jul;12(3):462-77
13. Mitra R., Mueller P., Ji Y. Bayesian Graphical models for Differential Proteomic Pathways ( Published Online, 2015) Bayesian Analysis.

Book Chapters
Statistical Analysis of Next Generation Sequencing Data. An edited volume on next generation sequencing for statisticians and biologists -Springer Series on Frontiers in Probability and the Statistical Sciences.
The contributed chapters are

  • Statistical Analyses of Next Generation Sequencing Data: An Overview Riten Mitra, Ryan Gill, Susmita Datta, Somnath Datta.
  • Using RNASeq data to detect dierentially expressed genes Douglas J. Lorenz, Ryan S. Gill, Riten Mitra, Susmita Datta
  • Bayesian Hierarchical Models for ChIPSEQ Data Riten Mitra, Peter Mueller

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