most citedSupervised Multiple Kernel Learning approaches for multi-omics data integration

33 citations · 33 across the 2 of their papers we have counts for

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stat.AP2023

Improvement of variables interpretability in kernel PCA

Mitja Briscik, Marie-Agnès Dillies, Sébastien Déjean

Kernel methods have been proven to be a powerful tool for the integration and analysis of highthroughput technologies generated data. Kernels offer a nonlinear version of any linea…