Multiple-input multiple-output causal strategies for gene selection

BACKGROUND: Traditional strategies for selecting variables in high dimensional classification problems aim to find sets of maximally relevant variables able to explain the target variations. If these techniques may be effective in generalization accuracy they often do not reveal direct causes. The l...

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Detalles Bibliográficos
Autores principales: Bontempi, Gianluca, Haibe-Kains, Benjamin, Desmedt, Christine, Sotiriou, Christos, Quackenbush, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3323860/
https://www.ncbi.nlm.nih.gov/pubmed/22118187
http://dx.doi.org/10.1186/1471-2105-12-458

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3323860/
https://www.ncbi.nlm.nih.gov/pubmed/22118187
http://dx.doi.org/10.1186/1471-2105-12-458

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