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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...

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Bibliografiske detaljer
Udgivet i:Hum Mol Genet
Main Authors: Masica, David L., Sosnay, Patrick R., Raraigh, Karen S., Cutting, Garry R., Karchin, Rachel
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2015
Fag:
Online adgang: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
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