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bioRxiv · 10.1101/2022.08.17.503867

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

Ranathunge, C.·Patel, S. S.·Pinky, L.·Correll, V. L.·Semmes, O. J.·Armstrong, R. K.·Combs, C. D.·Nyalwidhe, J. O.
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Abstract

SummaryWe present promor, a comprehensive, user-friendly R package that streamlines label-free (LFQ) proteomics data analysis and building machine learning-based predictive models with top protein candidates. Availability and implementationpromor 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/). Contactcaranathunge86@gmail.com

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Ranathunge, C., Patel, S. S., Pinky, L., Correll, V. L., Semmes, O. J., Armstrong, R. K., Combs, C. D., Nyalwidhe, J. O.. 2022-08-18. promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling. https://doi.org/10.1101/2022.08.17.503867

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