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.
Authors
- Armstrong RK
- Chen S
- Combs CD
- Correll VL
- Nyalwidhe JO
- Patel SS
- Pinky L
- Ranathunge C
- Semmes OJ