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Research Articles
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Lee S*., Pe'er D*. Dudley A., Church G., and Koller, D. (*equal contribution),
Identifying Regulatory Mechanisms and their Individual Variation Reveals Key Role
of Chromatin Modification,
Proc Natl Acad Sci.2006 Sep 19;103(38):14062-7.
[PDF]
[PNAS]
[Supplementary Material]
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Pe'er D, Regev, A. and Tanay, A.
Minreg: A Scalable Algorithm for Learning Parsimonious Regulatory networks in Yeast
and Mammals,
Journal of Machine Learning Research, 7:167--189, Feb 2006.
[PDF]
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Pe'er D.
Bayesian network analysis of signaling networks: a primer,
Science STKE, 281:pl4, April 2005
[PDF]
[STKE]
[Breakthrough of year]
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Sachs, K*., Perez, O*., Pe'er D*., Lauffenburger, D., and Nolan, G., (*equal contribution),
Causal protein-signaling networks derived from multiparameter single-cell data,
Science 308:523-529, April 2005.
[PDF]
[Science]
[Supporting Material and Data]
[Perspective]
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Segal, E., Pe'er D., Regev, A. Koller, D. and Friedman N.,
Learning Module Networks,
Journal of Machine Learning , 6:557-588, April 2005.
[PDF]
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Segal, E*., Shapira, M., Regev, A*., Pe'er, D.*, Botstein, D., Koller, D.
and Friedman, N., (*equal contribution),
Module networks: identifying regulatory modules and their
condition specific regulators from gene expression data,
Nature Genetics 34:166-176, June 2003.
[PDF]
[Nature Genetics]
[Web Supplement]
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Pe'er, D., Regev, A. and Tanay, A.,
Minreg: Inferring an active regulator set,
Bioinformatics 18:S258-S267, 2002
[PDF]
[Web Supplement]
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Pe'er,D. , Regev, A., Elidan, G., and Friedman N.,
Inferring Subnetworks from Preturbed Expression Profiles
Bioinformatics 17:S215-S224, 2001
[PDF]
[Web Supplement]
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Friedman, N., Linial, M., Nachman, I, and Pe'er D.,
Using Bayesian networks to analyze expression data,
Journal of Computational Biology, 7:601-620, 2000.
[PDF]
[Web Supplement]
[Technical Supplement]
From Gene expression to Molecular Pathways
(Ph.D. Disseration)
[PDF]
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