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Tutorial on survival modeling with applications to omics data

1 Mar 2024

Abstract excerpt

MOTIVATION: Identification of genomic, molecular and clinical markers prognostic of patient survival is important for developing personalized disease prevention, diagnostic and treatment approaches. Modern omics technologies have made it possible to investigate the prognostic impact of markers at multiple molecular levels, including genomics, epigenomics, transcriptomics, proteomics and metabolomics, and how...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 38445722
DOI: 10.1093/bioinformatics/btae132

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