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 online.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010602 | PMC |
| http://dx.doi.org/10.1093/bioadv/vbad025 | DOI Listing |
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promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling.
Bioinform Adv
March 2023
The Leroy T. Canoles Jr. Cancer Research Center, Eastern Virginia Medical School, 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.
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