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Mario Medvedovic: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mario Medvedovic, Junhai Guo
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2004, pp:40-47 [Conf]
  2. X. Liu, Siva Sivaganesan, Ka Yee Yeung, Junhai Guo, Roger Eugene Bumgarner, Mario Medvedovic
    Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray dataset. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:14, pp:1737-1744 [Journal]
  3. Mario Medvedovic, Siva Sivaganesan
    Bayesian infinite mixture model based clustering of gene expression profiles. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:9, pp:1194-1206 [Journal]
  4. Mario Medvedovic, Ka Yee Yeung, Roger Eugene Bumgarner
    Bayesian mixture model based clustering of replicated microarray data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:8, pp:1222-1232 [Journal]

  5. LRpath: a logistic regression approach for identifying enriched biological groups in gene expression data. [Citation Graph (, )][DBLP]

  6. Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data. [Citation Graph (, )][DBLP]

  7. CLEAN: CLustering Enrichment ANalysis. [Citation Graph (, )][DBLP]

  8. Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments. [Citation Graph (, )][DBLP]

  9. A semi-parametric Bayesian model for unsupervised differential co-expression analysis. [Citation Graph (, )][DBLP]

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