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BMC Bioinformatics|November 26, 2016
variancePartition: interpreting drivers of variation in complex gene expression studiesGabriel E Hoffman, 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 SchadtNucleic Acids Research|September 24, 2019
Functional interpretation of genetic variants using deep learning predicts impact on chromatin accessibility and histone modificationGabriel E Hoffman, Jaroslav Bendl, Kiran Girdhar, et al.Nature|September 11, 2009
Molecular networks as sensors and drivers of common human diseasesEric E SchadtCurrent Opinion in Biotechnology|October 27, 2005
Exploiting naturally occurring DNA variation and molecular profiling data to dissect disease and drug response traitsEric E SchadtThe Journal of Allergy and Clinical Immunology|December 4, 2014
Systems biology of asthma and allergic diseases: a multiscale approachSupinda Bunyavanich, Eric E SchadtScientific Reports|June 13, 2018
A Nasal Brush-based Classifier of Asthma Identified by Machine Learning Analysis of Nasal RNA Sequence DataGaurav Pandey, Om P Pandey, Angela J Rogers, et al.Journal of Lipid Research|October 3, 2006
Thematic review series: systems biology approaches to metabolic and cardiovascular disorders. Reverse engineering gene networks to identify key drivers of complex disease phenotypesEric E Schadt, Pek Y LumMammalian Genome : Official Journal of the International Mammalian Genome Society|July 27, 2007
Moving toward a system genetics view of diseaseSolveig K Sieberts, Eric E SchadtThe Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|May 17, 2014
The role of macromolecular damage in aging and age-related diseaseArlan G Richardson, Eric E SchadtPageof 44