The LeFE algorithm: embracing the complexity of gene expression in the interpretation of microarray data

Interpretation of microarray data remains a challenge, and most methods fail to consider the complex, nonlinear regulation of gene expression. To address that limitation, we introduce Learner of Functional Enrichment (LeFE), a statistical/machine learning algorithm based on Random Forest, and demons...

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Detalles Bibliográficos
Autores principales: Eichler, Gabriel S, Reimers, Mark, Kane, David, Weinstein, John N
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375025/
https://www.ncbi.nlm.nih.gov/pubmed/17845722
http://dx.doi.org/10.1186/gb-2007-8-9-r187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375025/
https://www.ncbi.nlm.nih.gov/pubmed/17845722
http://dx.doi.org/10.1186/gb-2007-8-9-r187

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