Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis

BACKGROUND: Feature selection of multi-omics data analysis remains challenging owing to the size of omics datasets, comprising approximately [Formula: see text] –[Formula: see text] features. In particular, appropriate methods to weight individual omics datasets are unclear, and the approach adopted...

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Detalles Bibliográficos
Autores principales: Taguchi, Y-h., Turki, Turki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876179/
https://www.ncbi.nlm.nih.gov/pubmed/35209912
http://dx.doi.org/10.1186/s12920-022-01181-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876179/
https://www.ncbi.nlm.nih.gov/pubmed/35209912
http://dx.doi.org/10.1186/s12920-022-01181-4

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