Current Research Interests:

Dr. Shen is interested in statistical methods in cancer genomics. Her recent work includes Bayesian mixture models for integrating gene expression data across microarray platforms and laboratories; feature selection methods using data decomposition techniques; and measurement error models for analyzing tissue microarray data. Dr. Shen is part of the program project in lung cancer. She has been involved in collaborative projects from Dr. William Pao's lab and Dr. Harold Varmus's lab to study the molecular mechanisms of acquired drug resistance to tyrosine-kinase inhibitors in lung adenocarcinoma. She is also involved in various clinical projects with Dr. Mark Kris and Dr. Valerie Rusch in search for new therapeutic targets for lung cancer.

Selected Bibliography:

1. Choi H, Shen R, Chinnaiyan AM, Ghosh D. (2007). A Latent Variable Approach for Meta-analysis of Gene Expression Data from Multiple Microarray Experiments. BMC Bioinformatics. 8(1):364

2. Yu J, Cao Q, Mehra R, Laxman B, Yu J, Tomlins SA, Creighton CJ, Dhanasekaran SM, Shen R, Chen G, Morris DS, Marquez VE, Shah RB, Ghosh D, Varambally S, Chinnaiyan AM. (2007). Integrative Genomics Analysis Reveals Silencing of beta-Adrenergic Signaling by Polycomb in Prostate Cancer. Cancer Cell.12(5):419-31.

3. Shen R, Ghosh D, Chinnaiyan AM, Meng Z. (2006). Eigengene Based Linear Discriminant Model for Gene Expression Data Analysis. Bioinformatics 22(21):2635-42.

4. Mehra R, Varambally S, Ding L, Shen R, Sabel MS, Ghosh D, Chinnaiyan AM, Kleer CG. (2005). Identification of GATA3 as a Breast Cancer Prognostic Marker by Global Gene Expression Meta-analysis. Cancer Research 65(24):11259-64.

5. Shen R, Ghosh D, Chinnaiyan A. (2004). Prognostic Meta-signature of Breast Cancer Developed by Two-stage Mixture Modeling of Microarray Data. BMC Genomics 5(1):94.