Wird geladen...
Learning gene regulatory networks from only positive and unlabeled data
BACKGROUND: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled as a binary classification problem for each pair of genes. A statistical classifier is trained to recognize the relation...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2010
|
| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2887423/ https://ncbi.nlm.nih.gov/pubmed/20444264 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-228 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|