Network-Based Penalized Regression With Application to 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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15 صفحه اولPenalized regression with correlation-based penalty
A new regularization method for regression models is proposed. The criterion to be minimized contains a penalty term which explicitly links strength of penalization to the correlation between predictors. As the elastic net, the method encourages a grouping effect where strongly correlated predictors tend to be in or out of the model together. A boosted version of the penalized estimator, which ...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2013
ISSN: 0006-341X
DOI: 10.1111/biom.12035