De novo individualized disease modules reveal the synthetic penetrance of genes and inform personalized treatment regimens.

Abstract excerpt

Current understandings of individual disease etiology and therapeutics are limited despite great need. To fill the gap, we propose a novel computational pipeline that collects potent disease gene cooperative pathways to envision individualized disease etiology and therapies. Our algorithm constructs individualized disease modules de novo, which enables us to elucidate the importance of mutated genes in specific...

Topics

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

• Share to Algorithms
• Share to Breast Neoplasms
• Share to Mutation