Article

Bayesian semi-nonnegative matrix tri-factorization to identify pathways associated with cancer phenotypes

2019-08-20

Abstract excerpt

Accurate identification of pathways associated with cancer phenotypes (e.g., cancer sub-types and treatment outcome) could lead to discovering reliable prognostic and/or predictive biomarkers for better patients stratification and treatment guidance. In our previous work, we have shown that non-negative matrix tri-factorization (NMTF) can be successfully applied to identify pathways associated with specific cancer...

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Literature Corpus work: 578d9be0-aece-5a5d-923d-28d3cfa0bbfb
DOI: 10.1101/739110

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