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Pe'er, Dana - Department of Biological Sciences, Columbia University
BIOINFORMATICS Vol. 1 no. 1 2001
An Integrated Approach to Uncover Drivers of Cancer
Sanchez-Garcia et al. BMC Bioinformatics 2010, 11:189 http://www.biomedcentral.com/1471-2105/11/189
Journal of Machine Learning Research 7 (2006) 167189 Submitted 3/04; Revised 9/05; Published 2/06 MinReg: A Scalable Algorithm for Learning
Leading Edge Perspective
Harnessing gene expression to identify the genetic basis of drug resistance Supplementary Information
Identifying regulatory mechanisms using individual variation reveals key role for chromatin modification
Supporting Materials Genetic Regulatory Network of Modules (Geronemo). As discussed in the
Our scenario is akin to the magnetic furnace model proposed by Axford and
BIOINFORMATICS Vol. 18 Suppl. 1 2002
Using Bayesian Networks to Analyze Expression Data Nir Friedman
Learning of Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm
Learning a Prior on Regulatory Potential from eQTL Data , Aimee M. Dudley2
Single-CellMassCytometryofDifferential Immune and Drug Responses Across
nature biotechnology volume 27 number 12 DeCember 2009 1173 B r i e f c o m m u n i c at i o n s
Modularity and interactions in the genetics of gene expression
Bayesian Network Analysis of Signaling Networks: A Primer
FROM GENE EXPRESSION TO MOLECULAR PATHWAYS
Harnessing gene expression to identify the genetic basis of drug resistance
