Current Research Interests:

Ronglai 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.

Her primary collaborations are with investigators engaged in research in lung cancer. She also collaborates with oncologists and surgeons in the head and neck service on design and analysis of clinical studies.

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.