Cargando…
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...
Autores principales: | Bontempi, Gianluca, Haibe-Kains, Benjamin, Desmedt, Christine, Sotiriou, Christos, Quackenbush, John |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
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 |
Ejemplares similares
-
A fuzzy gene expression-based computational approach improves breast cancer prognostication
por: Haibe-Kains, Benjamin, et al.
Publicado: (2010) -
A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?
por: Haibe-Kains, B., et al.
Publicado: (2008) -
Comparison of prognostic gene expression signatures for breast cancer
por: Haibe-Kains, Benjamin, et al.
Publicado: (2008) -
Relevance of different prior knowledge sources for inferring gene interaction networks
por: Olsen, Catharina, et al.
Publicado: (2014) -
Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks
por: Haibe-Kains, Benjamin, et al.
Publicado: (2012)