Search Results - "Briscik, Mitja"

Improvement of variables interpretability in kernel PCA by Briscik, Mitja, Dillies, Marie-Agnès, Déjean, Sébastien

“…Kernel methods have been proven to be a powerful tool for the integration and analysis of high-throughput technologies generated data. Kernels offer a…”
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Supervised multiple kernel learning approaches for multi-omics data integration by Briscik, Mitja, Tazza, Gabriele, Vidács, László, Dillies, Marie-Agnès, Déjean, Sébastien

“…Advances in high-throughput technologies have originated an ever-increasing availability of omics datasets. The integration of multiple heterogeneous data…”
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Improvement of variables interpretability in kernel PCA by Briscik, Mitja, Dillies, Marie-Agnès, Déjean, Sébastien

“…BMC Bioinformatics 24, 282 (2023) Kernel methods have been proven to be a powerful tool for the integration and analysis of highthroughput technologies…”
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Supervised Multiple Kernel Learning approaches for multi-omics data integration by Briscik, Mitja, Tazza, Gabriele, Dillies, Marie-Agnes, Vidács, László, Dejean, Sébastien

“…Advances in high-throughput technologies have originated an ever-increasing availability of omics datasets. The integration of multiple heterogeneous data…”
Get full text