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Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data.

, , , and . Bioinform., 35 (14): i427-i435 (2019)

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Bridging the Gap Between Neural Network and Kernel Methods: Applications to Drug Discovery., , and . WIRN, volume 226 of Frontiers in Artificial Intelligence and Applications, page 3-13. IOS Press, (2010)EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data., , , , , , , , , and 3 other author(s). CoRR, (2022)Machine learning and genomics: precision medicine vs. patient privacy.. CoRR, (2018)Learning to Predict Chemical Reactions., , , and . J. Chem. Inf. Model., 51 (9): 2209-2222 (2011)One- to Four-Dimensional Kernels for Virtual Screening and the Prediction of Physical, Chemical, and Biological Properties., , , , , and . J. Chem. Inf. Model., 47 (3): 965-974 (2007)Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer., , , , , , and . PLoS Comput. Biol., (2021)Machine learning tools for biomarker discovery. (Outils d'apprentissage statistique pour la découverte de biomarqueurs).. (2020)pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods., , , , , , and . BMC Bioinform., 24 (1): 459 (December 2023)Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data., , , and . Bioinform., 35 (14): i427-i435 (2019)Efficient network-guided multi-locus association mapping with graph cuts., , , , and . Bioinform., 29 (13): 171-179 (2013)