pyPcazip: A PCA-based toolkit for compression and analysis of molecular simulation data (2016)
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.softx.2016.04.002
Publication URI: http://dx.doi.org/10.1016/j.softx.2016.04.002
Type: Journal Article/Review
Parent Publication: SoftwareX