hctsa: A Computational Framework for Automated Time-Series Phenotyping Using Massive Feature Extraction. (2017)
Attributed to:
EPSRC Centre for Mathematics of Precision Healthcare
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.cels.2017.10.001
PubMed Identifier: 29102608
Publication URI: http://europepmc.org/abstract/MED/29102608
Type: Journal Article/Review
Volume: 5
Parent Publication: Cell systems
Issue: 5
ISSN: 2405-4712