Data parsing in mass spectrometry imaging using R Studio and Cardinal: A tutorial

Mass spectrometry imaging (MSI) has emerged as a rapidly expanding field in the MS community. The analysis of large spectral data is further complicated by the added spatial dimension of MSI. A plethora of resources exist for expert users to begin parsing MSI data in R, but there is a critical lack...

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Detalles Bibliográficos
Autores principales: Shedlock, Cameron J., Stumpo, Katherine A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Special issue on Data Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762469/
https://www.ncbi.nlm.nih.gov/pubmed/35072143
http://dx.doi.org/10.1016/j.jmsacl.2021.12.007
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author Shedlock, Cameron J.
Stumpo, Katherine A.
author_facet Shedlock, Cameron J.
Stumpo, Katherine A.
author_sort Shedlock, Cameron J.
collection PubMed
description Mass spectrometry imaging (MSI) has emerged as a rapidly expanding field in the MS community. The analysis of large spectral data is further complicated by the added spatial dimension of MSI. A plethora of resources exist for expert users to begin parsing MSI data in R, but there is a critical lack of guidance for absolute beginners. This tutorial is designed to serve as a one-stop guide to start using R with MSI data and describe the possibilities that data science can bring to MSI analysis.
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spelling pubmed-87624692022-01-20 Data parsing in mass spectrometry imaging using R Studio and Cardinal: A tutorial Shedlock, Cameron J. Stumpo, Katherine A. J Mass Spectrom Adv Clin Lab Special issue on Data Science Mass spectrometry imaging (MSI) has emerged as a rapidly expanding field in the MS community. The analysis of large spectral data is further complicated by the added spatial dimension of MSI. A plethora of resources exist for expert users to begin parsing MSI data in R, but there is a critical lack of guidance for absolute beginners. This tutorial is designed to serve as a one-stop guide to start using R with MSI data and describe the possibilities that data science can bring to MSI analysis. Elsevier 2021-12-20 /pmc/articles/PMC8762469/ /pubmed/35072143 http://dx.doi.org/10.1016/j.jmsacl.2021.12.007 Text en © 2021 MSACL https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Special issue on Data Science
Shedlock, Cameron J.
Stumpo, Katherine A.
Data parsing in mass spectrometry imaging using R Studio and Cardinal: A tutorial
title Data parsing in mass spectrometry imaging using R Studio and Cardinal: A tutorial
title_full Data parsing in mass spectrometry imaging using R Studio and Cardinal: A tutorial
title_fullStr Data parsing in mass spectrometry imaging using R Studio and Cardinal: A tutorial
title_full_unstemmed Data parsing in mass spectrometry imaging using R Studio and Cardinal: A tutorial
title_short Data parsing in mass spectrometry imaging using R Studio and Cardinal: A tutorial
title_sort data parsing in mass spectrometry imaging using r studio and cardinal: a tutorial
topic Special issue on Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762469/
https://www.ncbi.nlm.nih.gov/pubmed/35072143
http://dx.doi.org/10.1016/j.jmsacl.2021.12.007
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