Differential privacy-based evaporative cooling feature selection and classification with relief-F and random forests

MOTIVATION: Classification of individuals into disease or clinical categories from high-dimensional biological data with low prediction error is an important challenge of statistical learning in bioinformatics. Feature selection can improve classification accuracy but must be incorporated carefully...

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Veröffentlicht in:Bioinformatics
Hauptverfasser: Le, Trang T, Simmons, W Kyle, Misaki, Masaya, Bodurka, Jerzy, White, Bill C, Savitz, Jonathan, McKinney, Brett A
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2017
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Original Papers
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5870708/
https://ncbi.nlm.nih.gov/pubmed/28472232
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx298
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