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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...

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Detalles Bibliográficos
Autores principales: Dong, Yonghui, Wachsman, Tal, Morgan, Liat, Gazit, Ehud, Birkler, Rune Isak Dupont
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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
Descripción
Sumario: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.