Article
Molecular group and correlation guided structural learning for multi-phenotype prediction.
Briefings in bioinformatics - 23 Sept 2024
Zhou Xueping, Cai Manqi, Yue Molin, Celedón Juan C, Wang Jiebiao, Ding Ying, Chen Wei, Li Yanming
Abstract excerpt
We propose a supervised learning bioinformatics tool, Biological gRoup guIded muLtivariate muLtiple lIneAr regression with peNalizaTion (Brilliant), designed for feature selection and outcome prediction in genomic data with multi-phenotypic responses. Brilliant specifically incorporates genome and/or phenotype grouping structures, as well as phenotype correlation structures, in feature selection, effect...
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