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Nature Reviews. Drug Discovery|April 2, 2009
A network view of disease and compound screeningEric E Schadt, Stephen H Friend, David A ShaywitzMammalian Genome : Official Journal of the International Mammalian Genome Society|June 20, 2006
Integrating genetic and gene expression data: application to cardiovascular and metabolic traits in miceThomas A Drake, Eric E Schadt, Aldons J LusisBiochemical Society Transactions|March 26, 2003
A new paradigm for drug discovery: integrating clinical, genetic, genomic and molecular phenotype data to identify drug targetsE E Schadt, S A Monks, S H FriendBMC Genetics|June 18, 2009
Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studiesKe Hao, Eugene Chudin, Joshua McElwee, et al.BMC Bioinformatics|October 9, 2007
Statistical power of phylo-HMM for evolutionarily conserved element detectionXiaodan Fan, Jun Zhu, Eric E Schadt, et al.Bioinformatics (Oxford, England)|March 19, 2011
COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization methodHaisu Ma, Eric E Schadt, Lee M Kaplan, et al.Nature Reviews. Genetics|May 9, 2022
Traversing industry and academia in biomedicine: the best of both worlds?D Gary Gilliland, Aviv Regev, Eric E Schadt, et al.Journal of Cellular Biochemistry|November 14, 2000
Analyzing high-density oligonucleotide gene expression array dataE E Schadt, C Li, C Su, et al.Trends in Genetics : TIG|January 22, 2005
Dark matter in the genome: evidence of widespread transcription detected by microarray tiling experimentsJason M Johnson, Stephen Edwards, Daniel Shoemaker, et al.Journal of Cellular Biochemistry. Supplement|February 14, 2002
Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array dataE E Schadt, C Li, B Ellis, et al.Pageof 39