33 citations · 33 across the 2 of their papers we have counts for
2 papers
stat.ML2024★ 33 cited
Supervised Multiple Kernel Learning approaches for multi-omics data integration
Mitja Briscik, Gabriele Tazza, Marie-Agnes Dillies +2
Advances in high-throughput technologies have originated an ever-increasing availability of omics datasets. The integration of multiple heterogeneous data sources is currently an i…
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…