promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling.

Abstract

We present promor, a comprehensive, user-friendly R package that streamlines label-free quantification proteomics data analysis and building machine learning-based predictive models with top protein candidates.

promor is freely available as an open source R package on the Comprehensive R Archive Network (CRAN) (https://CRAN.R-project.org/package=promor) and distributed under the Lesser General Public License (version 2.1 or later). Development version of promor is maintained on GitHub (https://github.com/caranathunge/promor) and additional documentation and tutorials are provided on the package website (https://caranathunge.github.io/promor/).

Supplementary data are available at <i>Bioinformatics Advances</i> online.

EDRN PI Authors
Medline Author List
  • Armstrong RK
  • Chen S
  • Combs CD
  • Correll VL
  • Nyalwidhe JO
  • Patel SS
  • Pinky L
  • Ranathunge C
  • Semmes OJ
PubMed ID
Appears In
Bioinform Adv, 2023 (month unknown), volume 3 (issue 1)