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Genome Research|May 16, 1998
Computational advances in maximum likelihood methods for molecular phylogenyE E Schadt, J S Sinsheimer, K LangeEuropean Journal of Psychotraumatology|September 11, 2014
Biomarkers for combat-related PTSD: focus on molecular networks from high-dimensional dataThomas C Neylan, Eric E Schadt, Rachel YehudaPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 17, 2015
Causal inference in biology networks with integrated belief propagationRui Chang, Jonathan R Karr, Eric E SchadtBioinformatics (Oxford, England)|July 19, 2014
lrgpr: interactive linear mixed model analysis of genome-wide association studies with composite hypothesis testing and regression diagnostics in RGabriel E Hoffman, Jason G Mezey, Eric E SchadtProceedings of the National Academy of Sciences of the United States of America|February 6, 2010
Evidence for widespread adaptive evolution of gene expression in budding yeastHunter B Fraser, Alan M Moses, Eric E SchadtPlos One|January 20, 2010
Magnitude of stratification in human populations and impacts on genome wide association studiesKe Hao, Eugene Chudin, Danielle Greenawalt, et al.Plos Computational Biology|April 27, 2010
Simultaneous clustering of multiple gene expression and physical interaction datasetsManikandan Narayanan, Adrian Vetta, Eric E Schadt, et al.Molecular Systems Biology|May 27, 2011
Characterizing the role of miRNAs within gene regulatory networks using integrative genomics techniquesWan-Lin Su, Robert R Kleinhanz, Eric E SchadtBMC Genetics|May 29, 2009
Disentangling molecular relationships with a causal inference testJoshua Millstein, Bin Zhang, Jun Zhu, et al.Proceedings of the National Academy of Sciences of the United States of America|September 3, 2010
Correction for hidden confounders in the genetic analysis of gene expressionJennifer Listgarten, Carl Kadie, Eric E Schadt, et al.Pageof 39