reviewTop 10% cited
Random forests for genomic data analysis
Genomics · 2012 · Vol. 99(6) · pp. 323–329
Xi Chen✉(Vanderbilt University)Hemant Ishwaran(University of Miami)
Gene expression and cancer classificationBioinformatics and Genomic NetworksData Mining Algorithms and ApplicationsRandom forestBiologyEpistasisComputational biologyMachine learningTree (set theory)Artificial intelligenceFeature selectionComputer scienceGenetics
MeSH terms
Artificial IntelligenceEpistasis, GeneticDatabases, FactualComputational BiologyGenomicsGenetic Association Studies
Funding
- National Science Foundation
- National Cancer Institute
- Division of Mathematical Sciences
Citations
954
FWCI
6.98
field-weighted impact
References
67
Percentile
98%
vs. same field & year
Citations per year
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References
Gene selection and classification of microarray data using random forest
BMC Bioinformatics · 2006 · 2,930 citations
Classification and Regression Trees.
Biometrics · 1984 · 23,850 citations
Bias in random forest variable importance measures: Illustrations, sources and a solution
BMC Bioinformatics · 2007 · 3,519 citations
MissForest—non-parametric missing value imputation for mixed-type data
Bioinformatics · 2011 · 5,860 citations
Conditional variable importance for random forests
BMC Bioinformatics · 2008 · 3,188 citations
Random Forests
Machine Learning · 2001 · 121,242 citations
Bagging Predictors
Machine Learning · 1996 · 16,689 citations
Classification and Regression Trees.
Journal of the American Statistical Association · 1986 · 21,013 citations
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