NetProt: Complex-based Feature Selection

Wilson Wen Bin Goh*, Limsoon Wong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)3102-3112
Number of pages11
JournalJournal of Proteome Research
Volume16
Issue number8
DOIs
Publication statusPublished - Aug 4 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017 American Chemical Society.

ASJC Scopus Subject Areas

  • Biochemistry
  • General Chemistry

Keywords

  • bioinformatics
  • feature-selection
  • networks
  • proteomics

Fingerprint

Dive into the research topics of 'NetProt: Complex-based Feature Selection'. Together they form a unique fingerprint.

Cite this