Peak learning of mass spectrometry imaging data using artificial neural networks

The high dimensional and complex nature of mass spectrometry imaging (MSI) data poses challenges to downstream analyses. Here the authors show an application of artificial intelligence in mining MSI data revealing biologically relevant metabolomic and proteomic information from data acquired on diff...

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Autores principales:	Walid M. Abdelmoula, Begona Gimenez-Cassina Lopez, Elizabeth C. Randall, Tina Kapur, Jann N. Sarkaria, Forest M. White, Jeffrey N. Agar, William M. Wells, Nathalie Y. R. Agar
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9244c823f02b459a98d698b08982a133
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spelling	oai:doaj.org-article:9244c823f02b459a98d698b08982a1332021-12-02T15:15:14ZPeak learning of mass spectrometry imaging data using artificial neural networks10.1038/s41467-021-25744-82041-1723https://doaj.org/article/9244c823f02b459a98d698b08982a1332021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25744-8https://doaj.org/toc/2041-1723The high dimensional and complex nature of mass spectrometry imaging (MSI) data poses challenges to downstream analyses. Here the authors show an application of artificial intelligence in mining MSI data revealing biologically relevant metabolomic and proteomic information from data acquired on different mass spectrometry platforms.Walid M. AbdelmoulaBegona Gimenez-Cassina LopezElizabeth C. RandallTina KapurJann N. SarkariaForest M. WhiteJeffrey N. AgarWilliam M. WellsNathalie Y. R. AgarNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Walid M. Abdelmoula Begona Gimenez-Cassina Lopez Elizabeth C. Randall Tina Kapur Jann N. Sarkaria Forest M. White Jeffrey N. Agar William M. Wells Nathalie Y. R. Agar Peak learning of mass spectrometry imaging data using artificial neural networks
description	The high dimensional and complex nature of mass spectrometry imaging (MSI) data poses challenges to downstream analyses. Here the authors show an application of artificial intelligence in mining MSI data revealing biologically relevant metabolomic and proteomic information from data acquired on different mass spectrometry platforms.
format	article
author	Walid M. Abdelmoula Begona Gimenez-Cassina Lopez Elizabeth C. Randall Tina Kapur Jann N. Sarkaria Forest M. White Jeffrey N. Agar William M. Wells Nathalie Y. R. Agar
author_facet	Walid M. Abdelmoula Begona Gimenez-Cassina Lopez Elizabeth C. Randall Tina Kapur Jann N. Sarkaria Forest M. White Jeffrey N. Agar William M. Wells Nathalie Y. R. Agar
author_sort	Walid M. Abdelmoula
title	Peak learning of mass spectrometry imaging data using artificial neural networks
title_short	Peak learning of mass spectrometry imaging data using artificial neural networks
title_full	Peak learning of mass spectrometry imaging data using artificial neural networks
title_fullStr	Peak learning of mass spectrometry imaging data using artificial neural networks
title_full_unstemmed	Peak learning of mass spectrometry imaging data using artificial neural networks
title_sort	peak learning of mass spectrometry imaging data using artificial neural networks
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9244c823f02b459a98d698b08982a133
work_keys_str_mv	AT walidmabdelmoula peaklearningofmassspectrometryimagingdatausingartificialneuralnetworks AT begonagimenezcassinalopez peaklearningofmassspectrometryimagingdatausingartificialneuralnetworks AT elizabethcrandall peaklearningofmassspectrometryimagingdatausingartificialneuralnetworks AT tinakapur peaklearningofmassspectrometryimagingdatausingartificialneuralnetworks AT jannnsarkaria peaklearningofmassspectrometryimagingdatausingartificialneuralnetworks AT forestmwhite peaklearningofmassspectrometryimagingdatausingartificialneuralnetworks AT jeffreynagar peaklearningofmassspectrometryimagingdatausingartificialneuralnetworks AT williammwells peaklearningofmassspectrometryimagingdatausingartificialneuralnetworks AT nathalieyragar peaklearningofmassspectrometryimagingdatausingartificialneuralnetworks
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Peak learning of mass spectrometry imaging data using artificial neural networks

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