Optimized application of penalized regression methods to diverse genomic data
نویسندگان
چکیده
منابع مشابه
Optimized application of penalized regression methods to diverse genomic data
MOTIVATION Penalized regression methods have been adopted widely for high-dimensional feature selection and prediction in many bioinformatic and biostatistical contexts. While their theoretical properties are well-understood, specific methodology for their optimal application to genomic data has not been determined. RESULTS Through simulation of contrasting scenarios of correlated high-dimens...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2011
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btr591