Machine Learning in Proteomics and Metabolomics

Journal of Proteome Research, vol. 21, pp. 2553–2554

Abstract

ADVERTISEMENT RETURN TO ISSUEEditorialNEXTMachine Learning in Proteomics and MetabolomicsBenjamin A. NeelyBenjamin A. NeelyChemical Sciences Division, National Institute of Standards and Technology, NIST Charleston, 331 Fort Johnson Road, Charleston, South Carolina 29412, United StatesMore by Benjamin A. Neelyhttps://orcid.org/0000-0001-6120-7695 and Magnus Palmblad*Magnus PalmbladCenter for Proteomics and Metabolomics, Leids Universitair Medisch Centrum, Albinusdreef 2, Leiden, Zuid-Holland 2300 RC, The Netherlands*Magnus Palmblad. Email: [email protected]More by Magnus Palmbladhttps://orcid.org/0000-0002-5865-8994Cite this: J. Proteome Res. 2022, 21, 11, 2553–2554Publication Date (Web):October 4, 2022Publication History Received20 September 2022Published online4 October 2022Published inissue 4 November 2022https://pubs.acs.org/doi/10.1021/acs.jproteome.2c00566https://doi.org/10.1021/acs.jproteome.2c00566editorialACS PublicationsCopyright © Published 2022 by American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views3760Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (923 KB) Get e-AlertscloseSUBJECTS:Machine learning,Mass spectrometry,Metabolomics,Proteomics,Software Get e-Alerts

Authors 2

1. Benjamin A. Neely

   National Institute of Standards and Technology

   Affiliation as printed

   Chemical Sciences Division, National Institute of Standards and Technology, NIST Charleston, 331 Fort Johnson Road, Charleston, South Carolina 29412, United States

2. Magnus Palmblad corresponding Aachen Center for Proteomics and Metabolomics

   Leiden University Medical Center

   Affiliation as printed

   Center for Proteomics and Metabolomics, Leids Universitair Medisch Centrum, Albinusdreef 2, Leiden, Zuid-Holland 2300 RC, The Netherlands