Chargement en cours...
Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure
The comprehensibility of good predictive models learned from high-dimensional gene expression data is attractive because it can lead to biomarker discovery. Several good classifiers provide comparable predictive performance but differ in their abilities to summarize the observed data. We extend a Ba...
Enregistré dans:
| Publié dans: | Data (Basel) |
|---|---|
| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2017
|
| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5358670/ https://ncbi.nlm.nih.gov/pubmed/28331847 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/data2010005 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|