Dana Pe'er

Nir Friedman, Iftach Nachman, Dana Pe'er: Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm. CoRR abs/1301.6696 (2013)

Aris Floratos, Barry Honig, Dana Pe'er, Andrea Califano: Using systems and structure biology tools to dissect cellular phenotypes. JAMIA 19(2): 171-175 (2012)

Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman: Learning Module Networks. CoRR abs/1212.2517 (2012)

Felix Sanchez-Garcia, Uri David Akavia, Eyal Mozes, Dana Pe'er: JISTIC: Identification of Significant Targets in Cancer. BMC Bioinformatics 11: 189 (2010)

Karen Sachs, Solomon Itani, Jennifer Carlisle, Garry P. Nolan, Dana Pe'er, Douglas A. Lauffenburger: Learning Signaling Network Structures with Sparsely Distributed Data. Journal of Computational Biology 16(2): 201-212 (2009)

Dana Pe'er, Amos Tanay, Aviv Regev: MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals. Journal of Machine Learning Research 7: 167-189 (2006)

Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman: Learning Module Networks. Journal of Machine Learning Research 6: 557-588 (2005)

Karen Sachs, Omar D. Perez, Dana Pe'er, Garry P. Nolan, David K. Gifford, Tommi Jaakkola, Douglas A. Lauffenburger: Analysis of Signaling Pathways in Human T-Cells Using Bayesian Network Modeling of Single Cell Data. CSB 2004: 644

Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman: Learning Module Networks. UAI 2003: 525-534

Dana Pe'er, Aviv Regev, Amos Tanay: Minreg: Inferring an active regulator set. ISMB 2002: 258-267

Dana Pe'er, Aviv Regev, Gal Elidan, Nir Friedman: Inferring subnetworks from perturbed expression profiles. ISMB (Supplement of Bioinformatics) 2001: 215-224

Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er: Using Bayesian Networks to Analyze Expression Data. Journal of Computational Biology 7(3-4): 601-620 (2000)

Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er: Using Bayesian networks to analyze expression data. RECOMB 2000: 127-135

Nir Friedman, Iftach Nachman, Dana Pe'er: Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm. UAI 1999: 206-215