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...

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Detalles Bibliográficos
Autores principales: Climente-González, Héctor, Azencott, Chloé-Agathe, Kaski, Samuel, Yamada, Makoto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Ismb/Eccb 2019 Conference Proceedings
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

Internet

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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