r2VIM: A new variable selection method for random forests in genome-wide association studies

Second-generation PLINK: rising to the challenge of larger and richer datasets

(2015) Christopher C Chang et al.   GigaScience

SeqSIMLA2: Simulating Correlated Quantitative Traits Accounting for Shared Environmental Effects in User-Specified Pedigree Structure

(2014) Ren-Hua Chung et al.   GENETIC EPIDEMIOLOGY

Meta-analysis of genome-wide association studies in five cohorts reveals common variants in RBFOX1, a regulator of tissue-specific splicing, associated with refractive error

(2013) Dwight Stambolian et al.   HUMAN MOLECULAR GENETICS

An integrated approach to reduce the impact of minor allele frequency and linkage disequilibrium on variable importance measures for genome-wide data

(2012) Raymond Walters et al.   BIOINFORMATICS

Linkage analysis identifies a locus for plasma von Willebrand factor undetected by genome-wide association

(2012) K. C. Desch et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Do high blood folate concentrations exacerbate metabolic abnormalities in people with low vitamin B-12 status?

(2011) James L Mills et al.   AMERICAN JOURNAL OF CLINICAL NUTRITION

Mayo Genome Consortia: A Genotype-Phenotype Resource for Genome-Wide Association Studies With an Application to the Analysis of Circulating Bilirubin Levels

(2011) Suzette J. Bielinski et al.   MAYO CLINIC PROCEEDINGS

Probability Machines

(2011) J. D. Malley et al.   METHODS OF INFORMATION IN MEDICINE

Human metabolic individuality in biomedical and pharmaceutical research

(2011) Karsten Suhre et al.   NATURE

Bioinformatic and Genetic Association Analysis of MicroRNA Target Sites in One-Carbon Metabolism Genes

(2011) Nicole Stone et al.   PLoS One

On safari to Random Jungle: a fast implementation of Random Forests for high-dimensional data

(2010) Daniel F. Schwarz et al.   BIOINFORMATICS

The behaviour of random forest permutation-based variable importance measures under predictor correlation

(2010) Kristin K Nicodemus et al.   BMC BIOINFORMATICS

Analyze multivariate phenotypes in genetic association studies by combining univariate association tests

(2010) Qiong Yang et al.   GENETIC EPIDEMIOLOGY

MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes

(2010) Yun Li et al.   GENETIC EPIDEMIOLOGY

Predictor correlation impacts machine learning algorithms: implications for genomic studies

(2009) K. K. Nicodemus et al.   BIOINFORMATICS

A random forest approach to the detection of epistatic interactions in case-control studies

(2009) Rui Jiang et al.   BMC BIOINFORMATICS

Genome-wide association meta-analysis for total serum bilirubin levels

(2009) A. D. Johnson et al.   HUMAN MOLECULAR GENETICS

Finding the missing heritability of complex diseases

(2009) Teri A. Manolio et al.   NATURE

Potential etiologic and functional implications of genome-wide association loci for human diseases and traits

(2009) L. A. Hindorff et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Variable Selection Issues in Tree-Based Regression Models

(2008) Xiao Qin et al.   TRANSPORTATION RESEARCH RECORD