Identifying temporal molecular signatures underlying cardiovascular diseases: A data science platform.

ABSTRACT:

Objective

During cardiovascular disease progression, molecular systems of myocardium (e.g., a proteome) undergo diverse and distinct changes. Dynamic, temporally-regulated alterations of individual molecules underlie the collective response of the heart to pathological drivers and the ultimate development of pathogenesis. Advances in high-throughput omics technologies have enabled cost-effective, temporal profiling of targeted systems in animal models of human diseases. However, computational analysis of temporal patterns from omics data remains challenging. In particular, bioinformatic pipelines involving unsupervised statistical approaches to support cardiovascular investigations are lacking, which hinders one's ability to extract biomedical insights from these complex datasets.<

SUBMITTER: Chung NC 

PROVIDER: S-EPMC7583079 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature