Debashis Ghosh Singular Value Decomposition Regression Models for Classification of Tumors from Microarray Experiments. [Citation Graph (0, 0)][DBLP] Pacific Symposium on Biocomputing, 2002, pp:18-29 [Conf]
Debashis Ghosh Mixture models for assessing differential expression in complex tissues using microarray data. [Citation Graph (0, 0)][DBLP] Bioinformatics, 2004, v:20, n:11, pp:1663-1669 [Journal]
Debashis Ghosh Finding cancer subtypes in microarray data using random projections. [Citation Graph (0, 0)][DBLP] Neurocomputing, 2006, v:69, n:16-18, pp:2258-2267 [Journal]
Reconstructing tumor-wise protein expression in tissue microarray studies using a Bayesian cell mixture model. [Citation Graph (, )][DBLP]
Hierarchical hidden Markov model with application to joint analysis of ChIP-chip and ChIP-seq data. [Citation Graph (, )][DBLP]
A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments. [Citation Graph (, )][DBLP]
Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models. [Citation Graph (, )][DBLP]
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