signeR: an empirical Bayesian approach to mutational signature discovery.

Abstract excerpt

MOTIVATION: Mutational signatures can be used to understand cancer origins and provide a unique opportunity to group tumor types that share the same origins and result from similar processes. These signatures have been identified from high throughput sequencing data generated from cancer genomes by using non-negative matrix factorisation (NMF) techniques. Current methods based on optimization techniques are...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Bayes Theorem
• Share to DNA Mutational Analysis