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CCWeights: an R package and web application for automated evaluation and selection of weighting factors for accurate quantification using linear calibration curve
SUMMARY: The accuracy of any analytical method is highly dependent on the selection of an appropriate calibration model. Here, we present CCWeights, an R package for automated assessment and selection of weighting factors for accurate quantification using linear calibration curve. Additionally, CCWe...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710652/ https://www.ncbi.nlm.nih.gov/pubmed/36700106 http://dx.doi.org/10.1093/bioadv/vbab029 |
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author | Dong, Yonghui Wachsman, Tal Morgan, Liat Gazit, Ehud Birkler, Rune Isak Dupont |
author_facet | Dong, Yonghui Wachsman, Tal Morgan, Liat Gazit, Ehud Birkler, Rune Isak Dupont |
author_sort | Dong, Yonghui |
collection | PubMed |
description | SUMMARY: The accuracy of any analytical method is highly dependent on the selection of an appropriate calibration model. Here, we present CCWeights, an R package for automated assessment and selection of weighting factors for accurate quantification using linear calibration curve. Additionally, CCWeights includes a web application that allows users to analyze their data using an interactive graphical user interface, without any programming requirements. The workflow and features of CCWeights are illustrated by the analyses of two datasets acquired by liquid chromatography-mass spectrometry (LC-MS). The resulting quantification table can be directly utilized for further model assessment and subsequent data analysis. AVAILABILITY AND IMPLEMENTATION: CCWeights is publicly available on CRAN repository (https://cran.r-project.org/web/packages/CCWeights), with source code available on GitHub (https://github.com/YonghuiDong/CCWeights) under a GPL-3 license. The web application can be run locally from R console using a simple command “runGui()”. Alternatively, the web application can be freely accessed for direct online use at https://bcdd.shinyapps.io/CCWeights/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. |
format | Online Article Text |
id | pubmed-9710652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97106522023-01-24 CCWeights: an R package and web application for automated evaluation and selection of weighting factors for accurate quantification using linear calibration curve Dong, Yonghui Wachsman, Tal Morgan, Liat Gazit, Ehud Birkler, Rune Isak Dupont Bioinform Adv Application Note SUMMARY: The accuracy of any analytical method is highly dependent on the selection of an appropriate calibration model. Here, we present CCWeights, an R package for automated assessment and selection of weighting factors for accurate quantification using linear calibration curve. Additionally, CCWeights includes a web application that allows users to analyze their data using an interactive graphical user interface, without any programming requirements. The workflow and features of CCWeights are illustrated by the analyses of two datasets acquired by liquid chromatography-mass spectrometry (LC-MS). The resulting quantification table can be directly utilized for further model assessment and subsequent data analysis. AVAILABILITY AND IMPLEMENTATION: CCWeights is publicly available on CRAN repository (https://cran.r-project.org/web/packages/CCWeights), with source code available on GitHub (https://github.com/YonghuiDong/CCWeights) under a GPL-3 license. The web application can be run locally from R console using a simple command “runGui()”. Alternatively, the web application can be freely accessed for direct online use at https://bcdd.shinyapps.io/CCWeights/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. Oxford University Press 2021-10-28 /pmc/articles/PMC9710652/ /pubmed/36700106 http://dx.doi.org/10.1093/bioadv/vbab029 Text en © The Author(s) 2021. 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 Dong, Yonghui Wachsman, Tal Morgan, Liat Gazit, Ehud Birkler, Rune Isak Dupont CCWeights: an R package and web application for automated evaluation and selection of weighting factors for accurate quantification using linear calibration curve |
title | CCWeights: an R package and web application for automated evaluation and selection of weighting factors for accurate quantification using linear calibration curve |
title_full | CCWeights: an R package and web application for automated evaluation and selection of weighting factors for accurate quantification using linear calibration curve |
title_fullStr | CCWeights: an R package and web application for automated evaluation and selection of weighting factors for accurate quantification using linear calibration curve |
title_full_unstemmed | CCWeights: an R package and web application for automated evaluation and selection of weighting factors for accurate quantification using linear calibration curve |
title_short | CCWeights: an R package and web application for automated evaluation and selection of weighting factors for accurate quantification using linear calibration curve |
title_sort | ccweights: an r package and web application for automated evaluation and selection of weighting factors for accurate quantification using linear calibration curve |
topic | Application Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710652/ https://www.ncbi.nlm.nih.gov/pubmed/36700106 http://dx.doi.org/10.1093/bioadv/vbab029 |
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