Cancer Tissue Classification Using Supervised Machine Learning Applied to MALDI Mass Spectrometry Imaging

Cancer Tissue Classification Using Supervised Machine Learning Applied to MALDI Mass Spectrometry Imaging

Matrix assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) can determine the spatial distribution of analytes such as protein distributions in a tissue section according to their mass-to-charge ratio. Here, we explored the clinical potential of machine learning (ML) applied to...

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Détails bibliographiques
Auteurs principaux: Paul Mittal, Mark R. Condina, Manuela Klingler-Hoffmann, Gurjeet Kaur, Martin K. Oehler, Oliver M. Sieber, Michelle Palmieri, Stefan Kommoss, Sara Brucker, Mark D. McDonnell, Peter Hoffmann
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
colorectal cancer (CRC)
endometrial cancer (EC)
lymph node metastasis (LNM)
machine learning (ML)
matrix assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI)
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Accès en ligne:https://doaj.org/article/89c98a6a933741a8a47c161c0e4ac318
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https://doaj.org/article/89c98a6a933741a8a47c161c0e4ac318

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