A mathematical comparison of non‐negative matrix factorization related methods with practical implications for the analysis of mass spectrometry imaging data

RATIONALE: Non‐negative matrix factorization (NMF) has been used extensively for the analysis of mass spectrometry imaging (MSI) data, visualizing simultaneously the spatial and spectral distributions present in a slice of tissue. The statistical framework offers two related NMF methods: probabilist...

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Detalles Bibliográficos
Autores principales: Nijs, Melanie, Smets, Tina, Waelkens, Etienne, De Moor, Bart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285509/
https://www.ncbi.nlm.nih.gov/pubmed/34374141
http://dx.doi.org/10.1002/rcm.9181

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285509/
https://www.ncbi.nlm.nih.gov/pubmed/34374141
http://dx.doi.org/10.1002/rcm.9181

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