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promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling
Chathurani Ranathunge1, Sagar S Patel1, Lubna Pinky1
1Eastern Virginia Medical School, School of Health Professions, Norfolk, VA 23501, USA.
Summary:
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.
Availability And Implementation:
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 Information:
Supplementary data are available at Bioinformatics Advances online.
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