An AUC-based permutation variable importance measure for random forests

Predicting disease risks from highly imbalanced data using random forest

(2011) Mohammed Khalilia et al.   BMC Medical Informatics and Decision Making

Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations

(2011) A.-L. Boulesteix et al.   BRIEFINGS IN BIOINFORMATICS

Letter to the Editor: On the stability and ranking of predictors from random forest variable importance measures

(2011) K. K. Nicodemus   BRIEFINGS IN BIOINFORMATICS

A genome-wide screen of gene–gene interactions for rheumatoid arthritis susceptibility

(2011) Chunyu Liu et al.   HUMAN GENETICS

AUC-RF: A New Strategy for Genomic Profiling with Random Forest

(2011) M. Luz Calle et al.   HUMAN HEREDITY

Variation Within DNA Repair Pathway Genes and Risk of Multiple Sclerosis

(2010) Farren B. S. Briggs et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Class prediction for high-dimensional class-imbalanced data

(2010) Rok Blagus et al.   BMC BIOINFORMATICS

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

(2010) Kristin K Nicodemus et al.   BMC BIOINFORMATICS

Evidence of statistical epistasis between DISC1, CIT and NDEL1 impacting risk for schizophrenia: biological validation with functional neuroimaging

(2010) Kristin K. Nicodemus et al.   HUMAN GENETICS

Predictor correlation impacts machine learning algorithms: implications for genomic studies

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

Knowledge discovery from imbalanced and noisy data

(2009) Jason Van Hulse et al.   DATA & KNOWLEDGE ENGINEERING

Pathway Analysis of Single-Nucleotide Polymorphisms Potentially Associated with Glioblastoma Multiforme Susceptibility Using Random Forests

(2008) J. S. Chang et al.   CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION