Article
WITER: A powerful method for the estimation of cancer-driver genes using a weighted iterative regression accurately modelling background mutation rate
2018-10-08
Abstract excerpt
Genomic identification of driver mutations and genes in cancer cells are critical for precision medicine. Due to difficulty in modeling distribution of background mutations, existing statistical methods are often underpowered to discriminate driver genes from passenger genes. Here we propose a novel statistical approach, weighted iterative zero-truncated negative-binomial regression (WITER), to detect cancer-drive...
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Identifiers and source
- Literature Corpus work
- c2611d26-f011-5ccc-8ded-83e2c12c5a57
- DOI
- 10.1101/437061