Interpretable dimensionality reduction and classification of mass spectrometry imaging data in a visceral pain model via non-negative matrix factorization

Mass spectrometry imaging (MSI) is a powerful scientific tool for understanding the spatial distribution of biochemical compounds in tissue structures. In this paper, we introduce three novel approaches in MSI data processing to perform the tasks of data augmentation, feature ranking, and image regi...

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Veröffentlicht in:PloS one 2024-10, Vol.19 (10), p.e0300526
Hauptverfasser: Pathirage, Kasun, Virmani, Aman, Scott, Alison J, Traub, Richard J, Ernst, Robert K, Ghodssi, Reza, Babadi, Behtash, Abshire, Pamela Ann
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Sprache:eng
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