Ontology highlight
ABSTRACT:
SUBMITTER: Weiskittel TM
PROVIDER: S-EPMC8744682 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature
Weiskittel Taylor M TM Ung Choong Y CY Correia Cristina C Zhang Cheng C Li Hu H
Genome research 20211207 1
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 patients and to understand the synthetic penetrance of these genes across patients. W ...[more]