Chargement en cours...
Missense variants in CFTR nucleotide-binding domains predict quantitative phenotypes associated with cystic fibrosis disease severity
Predicting the impact of genetic variation on human health remains an important and difficult challenge. Often, algorithmic classifiers are tasked with predicting binary traits (e.g. positive or negative for a disease) from missense variation. Though useful, this arrangement is limiting and contrive...
Enregistré dans:
| Publié dans: | Hum Mol Genet |
|---|---|
| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2015
|
| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4366609/ https://ncbi.nlm.nih.gov/pubmed/25489051 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/hmg/ddu607 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|