Do little interactions get lost in dark random forests?

Reinforcement Learning Trees

(2015) Ruoqing Zhu et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory

(2014) Jochen Kruppa et al.   BIOMETRICAL JOURNAL

Combining techniques for screening and evaluating interaction terms on high-dimensional time-to-event data

(2014) Murat Sariyar et al.   BMC BIOINFORMATICS

Letter to the Editor: On the term 'interaction' and related phrases in the literature on Random Forests

(2014) A.-L. Boulesteix et al.   BRIEFINGS IN BIOINFORMATICS

Fifty Years of Classification and Regression Trees

(2014) Wei-Yin Loh   INTERNATIONAL STATISTICAL REVIEW

Mining data with random forests: current options for real-world applications

(2013) Andreas Ziegler et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

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

(2012) Stacey J Winham et al.   BMC BIOINFORMATICS

Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?

(2012) W. G. Touw et al.   BRIEFINGS IN BIOINFORMATICS

An integrated map of genetic variation from 1,092 human genomes

(2012)   NATURE

Boosting for detection of gene-environment interactions

(2012) H. Pashova et al.   STATISTICS IN MEDICINE

Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics

(2012) Anne-Laure Boulesteix et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

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

(2011) Chunyu Liu et al.   HUMAN GENETICS

Bioinformatics challenges for genome-wide association studies

(2010) J. H. Moore et al.   BIOINFORMATICS

A Review of Ensemble Methods in Bioinformatics

(2010) Pengyi Yang et al.   Current Bioinformatics

High-Dimensional Variable Selection for Survival Data

(2010) Hemant Ishwaran et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Variable Importance Assessment in Regression: Linear Regression versus Random Forest

(2009) Ulrike Grömping   AMERICAN STATISTICIAN

Evaluating the Ability of Tree-Based Methods and Logistic Regression for the Detection of SNP-SNP Interaction

(2009) M. García-Magariños et al.   ANNALS OF HUMAN GENETICS

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

(2009) Rui Jiang et al.   BMC BIOINFORMATICS

MDR1 variants and risk of Parkinson disease

(2009) Katja Zschiedrich et al.   JOURNAL OF NEUROLOGY

Gene-gene and gene-environment interactions: new insights into the prevention, detection and management of coronary artery disease

(2009) Matthew B Lanktree et al.   Genome Medicine

Capturing the Spectrum of Interaction Effects in Genetic Association Studies by Simulated Evaporative Cooling Network Analysis

(2009) Brett A. McKinney et al.   PLoS Genetics

Random survival forests

(2008) Hemant Ishwaran et al.   Annals of Applied Statistics