Bayesian semi-nonnegative matrix tri-factorization to identify pathways associated with cancer phenotypes
Sunho Park, Nabhonil Kar, Jae‐Ho Cheong, Tae Hyun Hwang
This paper introduces a Bayesian semi-nonnegative matrix tri-factorization method to identify cancer-associated pathways from real-valued gene expression data, showing improved performance over existing methods.
Pacific Symposium on Biocomputing (PSB) · Nov 27, 2019Peer-reviewedBioinformatics