Cargando…
Automated biomarker candidate discovery in imaging mass spectrometry data through spatially localized Shapley additive explanations
The search for molecular species that are differentially expressed between biological states is an important step towards discovering promising biomarker candidates. In imaging mass spectrometry (IMS), performing this search manually is often impractical due to the large size and high-dimensionality...
Autores principales: | Tideman, Leonoor E.M., Migas, Lukasz G., Djambazova, Katerina V., Patterson, Nathan Heath, Caprioli, Richard M., Spraggins, Jeffrey M., Van de Plas, Raf |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124144/ https://www.ncbi.nlm.nih.gov/pubmed/34482894 http://dx.doi.org/10.1016/j.aca.2021.338522 |
Ejemplares similares
-
Imaging mass spectrometry reveals complex lipid distributions across Staphylococcus aureus biofilm layers
por: Rivera, Emilio S., et al.
Publicado: (2022) -
Fusion of mass spectrometry and microscopy: a multi-modality paradigm for molecular tissue mapping
por: Van de Plas, Raf, et al.
Publicado: (2015) -
Protocol for multimodal analysis of human kidney tissue by imaging mass spectrometry and CODEX multiplexed immunofluorescence
por: Neumann, Elizabeth K., 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) -
Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry
por: Verbeeck, Nico, et al.
Publicado: (2019)