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

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...

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Autores principales: Ranathunge, Chathurani, Patel, Sagar S, Pinky, Lubna, Correll, Vanessa L, Chen, Shimin, Semmes, O John, Armstrong, Robert K, Combs, C Donald, Nyalwidhe, Julius O
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Application Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010602/
https://www.ncbi.nlm.nih.gov/pubmed/36922981
http://dx.doi.org/10.1093/bioadv/vbad025
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author Ranathunge, Chathurani
Patel, Sagar S
Pinky, Lubna
Correll, Vanessa L
Chen, Shimin
Semmes, O John
Armstrong, Robert K
Combs, C Donald
Nyalwidhe, Julius O
author_facet Ranathunge, Chathurani
Patel, Sagar S
Pinky, Lubna
Correll, Vanessa L
Chen, Shimin
Semmes, O John
Armstrong, Robert K
Combs, C Donald
Nyalwidhe, Julius O
author_sort Ranathunge, Chathurani
collection PubMed
description 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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spelling pubmed-100106022023-03-14 promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling Ranathunge, Chathurani Patel, Sagar S Pinky, Lubna Correll, Vanessa L Chen, Shimin Semmes, O John Armstrong, Robert K Combs, C Donald Nyalwidhe, Julius O Bioinform Adv Application Note 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. Oxford University Press 2023-03-07 /pmc/articles/PMC10010602/ /pubmed/36922981 http://dx.doi.org/10.1093/bioadv/vbad025 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Note
Ranathunge, Chathurani
Patel, Sagar S
Pinky, Lubna
Correll, Vanessa L
Chen, Shimin
Semmes, O John
Armstrong, Robert K
Combs, C Donald
Nyalwidhe, Julius O
promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling
title promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling
title_full promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling
title_fullStr promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling
title_full_unstemmed promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling
title_short promor: a comprehensive R package for label-free proteomics data analysis and predictive modeling
title_sort promor: a comprehensive r package for label-free proteomics data analysis and predictive modeling
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010602/
https://www.ncbi.nlm.nih.gov/pubmed/36922981
http://dx.doi.org/10.1093/bioadv/vbad025
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