Molecular Group and Correlation Guided Structural Learning for Multi-Phenotype Prediction
Xueping Zhou,
Manqi Cai,
Molin Yue
et al.
Abstract:We propose a supervised learning algorithm to perform feature selection and outcome prediction for genomic data with multi-phenotypic responses. Our algorithm particularly incorporates the genome and/or phenotype grouping structures and phenotype correlation structures in feature selection, effect estimation, and outcome prediction under a penalized multi-response linear regression model. Extensive simulations demonstrate its superior performance over its competing methods. We apply the proposed algorithm to t… Show more
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