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Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data
MOTIVATION: Finding non-linear relationships between biomolecules and a biological outcome is computationally expensive and statistically challenging. Existing methods have important drawbacks, including among others lack of parsimony, non-convexity and computational overhead. Here we propose block...
Autores principales: | Climente-González, Héctor, Azencott, Chloé-Agathe, Kaski, Samuel, Yamada, Makoto |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612810/ https://www.ncbi.nlm.nih.gov/pubmed/31510671 http://dx.doi.org/10.1093/bioinformatics/btz333 |
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