Cargando…
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...
| Autores principales: | , , , |
|---|---|
| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
|
| Materias: | |
| 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 |