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Titin-truncating variants affect heart function in disease cohorts and the general population. (2017)

First Author: Schafer S

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