Improvement of variables interpretability in kernel PCA

BACKGROUND: Kernel methods have been proven to be a powerful tool for the integration and analysis of high-throughput technologies generated data. Kernels offer a nonlinear version of any linear algorithm solely based on dot products. The kernelized version of principal component analysis is a valid...

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Detalles Bibliográficos
Autores principales: Briscik, Mitja, Dillies, Marie-Agnès, Déjean, Sébastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337068/
https://www.ncbi.nlm.nih.gov/pubmed/37438763
http://dx.doi.org/10.1186/s12859-023-05404-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337068/
https://www.ncbi.nlm.nih.gov/pubmed/37438763
http://dx.doi.org/10.1186/s12859-023-05404-y

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