Evaluation and comparison of unsupervised methods for the extraction of spatial patterns from mass spectrometry imaging data (MSI)

For the extraction of spatially important regions from mass spectrometry imaging (MSI) data, different clustering methods have been proposed. These clustering methods are based on certain assumptions and use different criteria to assign pixels into different classes. For high-dimensional MSI data, t...

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Detalles Bibliográficos
Autores principales: Prasad, Mridula, Postma, Geert, Franceschi, Pietro, Buydens, Lutgarde M. C., Jansen, Jeroen J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489880/
https://www.ncbi.nlm.nih.gov/pubmed/36127378
http://dx.doi.org/10.1038/s41598-022-19365-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489880/
https://www.ncbi.nlm.nih.gov/pubmed/36127378
http://dx.doi.org/10.1038/s41598-022-19365-4

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