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- W142349358 abstract "AbstractThis chapter describes the role of machine learning approaches such as random forests in holistic discovery applications and provides a background for its better understanding. Their suitability for feature selection, data integration, and network modelling are also evaluated through recent examples in the literature. These examples cover a variety of fields, ranging from ecology to metabolomics.KeywordsRandom forestsChemometricsClassification and regression treesData integrationNetwork modellingMetabolomics" @default.
- W142349358 created "2016-06-24" @default.
- W142349358 creator A5025525995 @default.
- W142349358 date "2014-09-19" @default.
- W142349358 modified "2023-09-24" @default.
- W142349358 title "Adopting Multivariate Nonparametric Tools to Determine Genotype-Phenotype Interactions in Health and Disease" @default.
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- W142349358 doi "https://doi.org/10.1007/978-1-4471-6539-2_3" @default.
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