Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Spatiochemical Characterization of the Pancreas Using
Mass Spectrometry Imaging and Topological Data Analysis
por: Derwae, Helena, et al.
Publicado: (2023) -
Spatially aware clustering of ion images in mass spectrometry imaging data using deep learning
por: Zhang, Wanqiu, et al.
Publicado: (2021) -
Automated Anatomical Interpretation of Ion Distributions
in Tissue: Linking Imaging Mass Spectrometry to Curated Atlases
por: Verbeeck, Nico, et al.
Publicado: (2014) -
Organic matrix-free imaging mass spectrometry
por: Kim, Eunjin, et al.
Publicado: (2020) -
Proteomic biomarkers predicting lymph node involvement in serum of cervical cancer patients. Limitations of SELDI-TOF MS
por: Van Gorp, Toon, et al.
Publicado: (2012)