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NetProt: Complex-based Feature Selection.

Wilson Wen Bin GohLimsoon Wong
Published in: Journal of proteome research (2017)
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 .
Keyphrases
  • electronic health record
  • machine learning
  • deep learning
  • big data
  • mass spectrometry
  • cross sectional
  • social media
  • healthcare
  • health information
  • binding protein
  • protein protein
  • data analysis