Titin-truncating variants affect heart function in disease cohorts and the general population. (2017)
Attributed to:
Using Machine Learning to Identify Noninvasive Motion-Based Biomarkers of Cardiac Function
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1038/ng.3719
PubMed Identifier: 27869827
Publication URI: http://europepmc.org/abstract/MED/27869827
Type: Journal Article/Review
Volume: 49
Parent Publication: Nature genetics
Issue: 1
ISSN: 1061-4036