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

Authors :
Cameron J. Shedlock
Katherine A. Stumpo
Source :
Journal of Mass Spectrometry and Advances in the Clinical Lab, Vol 23, Iss , Pp 58-70 (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

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.

Details

Language :
English
ISSN :
2667145X
Volume :
23
Issue :
58-70
Database :
Directory of Open Access Journals
Journal :
Journal of Mass Spectrometry and Advances in the Clinical Lab
Publication Type :
Academic Journal
Accession number :
edsdoj.6b38dccf53648e897d8749979a4ac51
Document Type :
article
Full Text :
https://doi.org/10.1016/j.jmsacl.2021.12.007