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

Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/widm/BoulesteixJKK12
P356DOI10.1002/WIDM.1072

P50authorAnne-Laure BoulesteixQ70962748
Silke JanitzaQ70964025
P2093author name stringInke R. König
Jochen Kruppa
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An application of Random Forests to a genome-wide association dataset: methodological considerations & new findingsQ33603699
Maximal conditional chi-square importance in random forestsQ33706441
Class prediction for high-dimensional class-imbalanced dataQ33723485
Genome Wide Association Study to predict severe asthma exacerbations in children using random forests classifiersQ33947336
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Prediction of conformational B-cell epitopes from 3D structures by random forests with a distance-based featureQ33994173
Power of data mining methods to detect genetic associations and interactionsQ34024897
SNPInterForest: a new method for detecting epistatic interactionsQ34094340
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Variation within DNA repair pathway genes and risk of multiple sclerosisQ36856159
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P433issue6
P921main subjectbioinformaticsQ128570
computational biologyQ177005
random forestQ245748
P304page(s)493-507
P577publication date2012-10-18
P1433published inWiley interdisciplinary reviews. Data mining and knowledge discoveryQ27723849
P1476titleOverview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics
P478volume2

Reverse relations

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