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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

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