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NetProt: Complex-based Feature Selection.
- Source :
-
Journal of proteome research [J Proteome Res] 2017 Aug 04; Vol. 16 (8), pp. 3102-3112. Date of Electronic Publication: 2017 Jul 07. - Publication Year :
- 2017
-
Abstract
- Protein complex-based feature selection (PCBFS) provides unparalleled reproducibility with high phenotypic relevance on proteomics data. Currently, there are five PCBFS paradigms, but not all representative methods have been implemented or made readily available. To allow general users to take advantage of these methods, we developed the R-package NetProt, which provides implementations of representative feature-selection methods. NetProt also provides methods for generating simulated differential data and generating pseudocomplexes for complex-based performance benchmarking. The NetProt open source R package is available for download from https://github.com/gohwils/NetProt/releases/ , and online documentation is available at http://rpubs.com/gohwils/204259 .
Details
- Language :
- English
- ISSN :
- 1535-3907
- Volume :
- 16
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Journal of proteome research
- Publication Type :
- Academic Journal
- Accession number :
- 28664733
- Full Text :
- https://doi.org/10.1021/acs.jproteome.7b00363