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Network-based multi-task learning models for biomarker selection and cancer outcome prediction

30 Oct 2019

Abstract excerpt

MOTIVATION: Detecting cancer gene expression and transcriptome changes with mRNA-sequencing or array-based data are important for understanding the molecular mechanisms underlying carcinogenesis and cellular events during cancer progression. In previous studies, the differentially expressed genes were detected across patients in one cancer type. These studies ignored the role of mRNA expression changes in driving...

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PMID: 31688914
DOI: 10.1093/bioinformatics/btz809

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