4.6 Article

Exploiting SNP Correlations within Random Forest for Genome-Wide Association Studies

Related references

Note: Only part of the references are listed.
Article Biochemical Research Methods

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

Stacey J. Winham et al.

BMC BIOINFORMATICS (2012)

Article Oncology

Investigating Hardy-Weinberg equilibrium in case-control or cohort studies or meta-analysis

Andreas Ziegler et al.

BREAST CANCER RESEARCH AND TREATMENT (2011)

Article Biochemical Research Methods

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

Kristin K. Nicodemus

BRIEFINGS IN BIOINFORMATICS (2011)

Article Agriculture, Dairy & Animal Science

Genome-wide prediction of discrete traits using bayesian regressions and machine learning

Oscar Gonzalez-Recio et al.

GENETICS SELECTION EVOLUTION (2011)

Review Biochemical Research Methods

Bioinformatics challenges for genome-wide association studies

Jason H. Moore et al.

BIOINFORMATICS (2010)

Article Biochemical Research Methods

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

Kristin K. Nicodemus et al.

BMC BIOINFORMATICS (2010)

Article Biochemistry & Molecular Biology

A screening methodology based on Random Forests to improve the detection of gene-gene interactions

Lizzy De Lobel et al.

EUROPEAN JOURNAL OF HUMAN GENETICS (2010)

Article Biochemical Research Methods

Predictor correlation impacts machine learning algorithms: implications for genomic studies

Kristin K. Nicodemus et al.

BIOINFORMATICS (2009)

Article Biochemical Research Methods

Performance of random forest when SNPs are in linkage disequilibrium

Yan A. Meng et al.

BMC BIOINFORMATICS (2009)

Article Biochemical Research Methods

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

Rui Jiang et al.

BMC BIOINFORMATICS (2009)

Review Genetics & Heredity

Genome-wide association studies for complex traits: consensus, uncertainty and challenges

Mark I. McCarthy et al.

NATURE REVIEWS GENETICS (2008)

Article Genetics & Heredity

PLINK: A tool set for whole-genome association and population-based linkage analyses

Shaun Purcell et al.

AMERICAN JOURNAL OF HUMAN GENETICS (2007)

Review Genetics & Heredity

A tutorial on statistical methods for population association studies

David J. Balding

NATURE REVIEWS GENETICS (2006)

Article Computer Science, Artificial Intelligence

Extremely randomized trees

P Geurts et al.

MACHINE LEARNING (2006)

Article Biochemical Research Methods

Haploview: analysis and visualization of LD and haplotype maps

JC Barrett et al.

BIOINFORMATICS (2005)

Review Critical Care Medicine

Statistics review 8: Qualitative data - tests of association

V Bewick et al.

CRITICAL CARE (2004)

Article Computer Science, Artificial Intelligence

Functional trees

J Gama

MACHINE LEARNING (2004)

Article Genetics & Heredity

Mapping complex traits using Random Forests

A Bureau et al.

BMC GENETICS (2003)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)