Jason H. Moore
Jason H. Moore
Chair, Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA
Verified email at - Homepage
Cited by
Cited by
Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer
MD Ritchie, LW Hahn, N Roodi, LR Bailey, WD Dupont, FF Parl, JH Moore
The American Journal of Human Genetics 69 (1), 138-147, 2001
Missing heritability and strategies for finding the underlying causes of complex disease
EE Eichler, J Flint, G Gibson, A Kong, SM Leal, JH Moore, JH Nadeau
Nature reviews genetics 11 (6), 446-450, 2010
Chapter 11: Genome-wide association studies
WS Bush, JH Moore
PLoS computational biology 8 (12), e1002822, 2012
The genetic structure and history of Africans and African Americans
SA Tishkoff, FA Reed, FR Friedlaender, C Ehret, A Ranciaro, A Froment, ...
science 324 (5930), 1035-1044, 2009
Multifactor dimensionality reduction software for detecting gene–gene and gene–environment interactions
LW Hahn, MD Ritchie, JH Moore
Bioinformatics 19 (3), 376-382, 2003
Relief-based feature selection: Introduction and review
RJ Urbanowicz, M Meeker, W La Cava, RS Olson, JH Moore
Journal of biomedical informatics 85, 189-203, 2018
Characterization of microRNA expression levels and their biological correlates in human cancer cell lines
A Gaur, DA Jewell, Y Liang, D Ridzon, JH Moore, C Chen, VR Ambros, ...
Cancer research 67 (6), 2456-2468, 2007
The ubiquitous nature of epistasis in determining susceptibility to common human diseases
JH Moore
Human heredity 56 (1-3), 73-82, 2003
Proteomic patterns of tumour subsets in non-small-cell lung cancer
K Yanagisawa, Y Shyr, BJ Xu, PP Massion, PH Larsen, BC White, ...
The Lancet 362 (9382), 433-439, 2003
TPOT: A tree-based pipeline optimization tool for automating machine learning
RS Olson, JH Moore
Workshop on automatic machine learning, 66-74, 2016
A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility
JH Moore, JC Gilbert, CT Tsai, FT Chiang, T Holden, N Barney, BC White
Journal of theoretical biology 241 (2), 252-261, 2006
Evaluation of a tree-based pipeline optimization tool for automating data science
RS Olson, N Bartley, RJ Urbanowicz, JH Moore
Proceedings of the genetic and evolutionary computation conference 2016, 485-492, 2016
Power of multifactor dimensionality reduction for detecting gene‐gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity
MD Ritchie, LW Hahn, JH Moore
Genetic Epidemiology: The Official Publication of the International Genetic …, 2003
Bioinformatics challenges for genome-wide association studies
JH Moore, FW Asselbergs, SM Williams
Bioinformatics 26 (4), 445-455, 2010
Renin-angiotensin system gene polymorphisms and atrial fibrillation
CT Tsai, LP Lai, JL Lin, FT Chiang, JJ Hwang, MD Ritchie, JH Moore, ...
Circulation 109 (13), 1640-1646, 2004
A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction
DR Velez, BC White, AA Motsinger, WS Bush, MD Ritchie, SM Williams, ...
Genetic Epidemiology: the Official Publication of the International Genetic …, 2007
A high-density admixture map for disease gene discovery in African Americans
MW Smith, N Patterson, JA Lautenberger, AL Truelove, GJ McDonald, ...
The American Journal of Human Genetics 74 (5), 1001-1013, 2004
New strategies for identifying gene-gene interactions in hypertension
JH Moore, SM Williams
Annals of medicine 34 (2), 88-95, 2002
Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans
AJ Saykin, L Shen, TM Foroud, SG Potkin, S Swaminathan, S Kim, ...
Alzheimer's & Dementia 6 (3), 265-273, 2010
Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort
L Shen, S Kim, SL Risacher, K Nho, S Swaminathan, JD West, T Foroud, ...
Neuroimage 53 (3), 1051-1063, 2010
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