Using recursive feature elimination in random forest to account for correlated variables in high dimensional data

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

(2017) Marvin N. Wright et al.   Journal of Statistical Software

Do little interactions get lost in dark random forests?

(2016) Marvin N. Wright et al.   BMC BIOINFORMATICS

Correlation and variable importance in random forests

(2016) Baptiste Gregorutti et al.   STATISTICS AND COMPUTING

Methods of integrating data to uncover genotype–phenotype interactions

(2015) Marylyn D. Ritchie et al.   NATURE REVIEWS GENETICS

Epigenome-Wide Association Study of Fasting Blood Lipids in the Genetics of Lipid-Lowering Drugs and Diet Network Study

(2014) Marguerite R. Irvin et al.   CIRCULATION

SNP interaction detection with Random Forests in high-dimensional genetic data

(2012) Stacey J Winham et al.   BMC BIOINFORMATICS

Random Forests for Genetic Association Studies

(2011) Benjamin A Goldstein et al.   Statistical Applications in Genetics and Molecular Biology

LocusZoom: regional visualization of genome-wide association scan results

(2010) R. J. Pruim et al.   BIOINFORMATICS

An application of Random Forests to a genome-wide association dataset: Methodological considerations & new findings

(2010) Benjamin A Goldstein et al.   BMC GENETICS

Finding the missing heritability of complex diseases

(2009) Teri A. Manolio et al.   NATURE

Empirical characterization of random forest variable importance measures

(2007) Kellie J. Archer et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS