 | 2009 |
| 15 |  | Hyungwon Choi,
Alexey I. Nesvizhskii,
Debashis Ghosh,
Zhaohui S. Qin:
Hierarchical hidden Markov model with application to joint analysis of ChIP-chip and ChIP-seq data.
Bioinformatics 25(14): 1715-1721 (2009) |
| 2008 |
| 14 |  | Dawei Liu,
Debashis Ghosh,
Xihong Lin:
Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models.
BMC Bioinformatics 9: (2008) |
| 13 |  | Ronglai Shen,
Jeremy M. G. Taylor,
Debashis Ghosh:
Reconstructing tumor-wise protein expression in tissue microarray studies using a Bayesian cell mixture model.
Bioinformatics 24(24): 2880-2886 (2008) |
| 2007 |
| 12 |  | Hyungwon Choi,
Ronglai Shen,
Arul M. Chinnaiyan,
Debashis Ghosh:
A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments.
BMC Bioinformatics 8: (2007) |
| 2006 |
| 11 |  | Ronglai Shen,
Debashis Ghosh,
Arul M. Chinnaiyan,
Zhaoling Meng:
Eigengene-based linear discriminant model for tumor classification using gene expression microarray data.
Bioinformatics 22(21): 2635-2642 (2006) |
| 10 |  | Stewart T. Chang,
Debashis Ghosh,
Denise E. Kirschner,
Jennifer J. Linderman:
Peptide length-based prediction of peptide-MHC class II binding.
Bioinformatics 22(22): 2761-2767 (2006) |
| 9 |  | James W. MacDonald,
Debashis Ghosh:
COPA - cancer outlier profile analysis.
Bioinformatics 22(23): 2950-2951 (2006) |
| 8 |  | Debashis Ghosh:
Finding cancer subtypes in microarray data using random projections.
Neurocomputing 69(16-18): 2258-2267 (2006) |
| 2005 |
| 7 |  | 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.
BMC Bioinformatics 6: 26 (2005) |
| 6 |  | 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.
Bioinformatics 21(12): 2867-2874 (2005) |
| 2004 |
| 5 |  | Debashis Ghosh:
Mixture models for assessing differential expression in complex tissues using microarray data.
Bioinformatics 20(11): 1663-1669 (2004) |
| 4 |  | Debashis Ghosh:
Identification of Shared Components and Sparse Networks in Gene Expression Time-Course Data.
VLSI Signal Processing 38(3): 277-286 (2004) |
| 2003 |
| 3 |  | Mark Smolkin,
Debashis Ghosh:
Cluster stability scores for microarray data in cancer studies.
BMC Bioinformatics 4: 36 (2003) |
| 2002 |
| 2 |  | Debashis Ghosh:
Singular Value Decomposition Regression Models for Classification of Tumors from Microarray Experiments.
Pacific Symposium on Biocomputing 2002: 18-29 |
| 1 |  | Debashis Ghosh,
Arul M. Chinnaiyan:
Mixture modelling of gene expression data from microarray experiments.
Bioinformatics 18(2): 275-286 (2002) |