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Iftach Nachman: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Iftach Nachman, Aviv Regev, Nir Friedman
    Inferring quantitative models of regulatory networks from expression data. [Citation Graph (0, 0)][DBLP]
    ISMB/ECCB (Supplement of Bioinformatics), 2004, pp:248-256 [Conf]
  2. Amir Ben-Dor, Laurakay Bruhn, Nir Friedman, Iftach Nachman, Michèl Schummer, Zohar Yakhini
    Tissue classification with gene expression profiles. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2000, pp:54-64 [Conf]
  3. Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er
    Using Bayesian networks to analyze expression data. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2000, pp:127-135 [Conf]
  4. Nir Friedman, Iftach Nachman
    Gaussian Process Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:211-219 [Conf]
  5. Nir Friedman, Iftach Nachman, Dana Pe'er
    Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:206-215 [Conf]
  6. Amir Ben-Dor, Laurakay Bruhn, Nir Friedman, Iftach Nachman, Michèl Schummer, Zohar Yakhini
    Tissue Classification with Gene Expression Profiles. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2000, v:7, n:3-4, pp:559-583 [Journal]
  7. Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er
    Using Bayesian Networks to Analyze Expression Data. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2000, v:7, n:3-4, pp:601-620 [Journal]
  8. Iftach Nachman, Gal Elidan, Nir Friedman
    "Ideal Parent" Structure Learning for Continuous Variable Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:400-409 [Conf]

  9. BRNI: Modular analysis of transcriptional regulatory programs. [Citation Graph (, )][DBLP]


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