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Debashis Ghosh: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. 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]
  3. Debashis Ghosh, Arul M. Chinnaiyan
    Mixture modelling of gene expression data from microarray experiments. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:2, pp:275-286 [Journal]
  4. Albert M. Levin, Debashis Ghosh, Kathleen R. Cho, Sharon L. R. Kardia
    A model-based scan statistic for identifying extreme chromosomal regions of gene expression in human tumors. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:12, pp:2867-2874 [Journal]
  5. Ronglai Shen, Debashis Ghosh, Arul M. Chinnaiyan, Zhaoling Meng
    Eigengene-based linear discriminant model for tumor classification using gene expression microarray data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:21, pp:2635-2642 [Journal]
  6. James W. MacDonald, Debashis Ghosh
    COPA - cancer outlier profile analysis. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:23, pp:2950-2951 [Journal]
  7. Stewart T. Chang, Debashis Ghosh, Denise E. Kirschner, Jennifer J. Linderman
    Peptide length-based prediction of peptide-MHC class II binding. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:22, pp:2761-2767 [Journal]
  8. Kerby Shedden, Wei Chen, Rork Kuick, Debashis Ghosh, James W. MacDonald, Kathleen R. Cho, Thomas J. Giordano, Stephen B. Gruber, Eric R. Fearon, Jeremy M. G. Taylor, Samir Hanash
    Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2005, v:6, n:, pp:26- [Journal]
  9. Mark Smolkin, Debashis Ghosh
    Cluster stability scores for microarray data in cancer studies. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2003, v:4, n:, pp:36- [Journal]
  10. 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]

  11. Reconstructing tumor-wise protein expression in tissue microarray studies using a Bayesian cell mixture model. [Citation Graph (, )][DBLP]


  12. Hierarchical hidden Markov model with application to joint analysis of ChIP-chip and ChIP-seq data. [Citation Graph (, )][DBLP]


  13. A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments. [Citation Graph (, )][DBLP]


  14. 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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