Computational assessment of feature combinations for pathogenic variant prediction.
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Predicting Severity of Disease-Causing Variants.PON-P and PON-P2 predictor performance in CAGI challenges: Lessons learned.Rapid functional analysis of computationally complex rare human IRF6 gene variants using a novel zebrafish model.Acute Intermittent Porphyria: Predicted Pathogenicity of HMBS Variants Indicates Extremely Low Penetrance of the Autosomal Dominant Disease.Exploring digenic inheritance in arrhythmogenic cardiomyopathy.
P2860
Computational assessment of feature combinations for pathogenic variant prediction.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Computational assessment of feature combinations for pathogenic variant prediction.
@en
type
label
Computational assessment of feature combinations for pathogenic variant prediction.
@en
prefLabel
Computational assessment of feature combinations for pathogenic variant prediction.
@en
P2860
P356
P1476
Computational assessment of feature combinations for pathogenic variant prediction
@en
P2093
P2860
P304
P356
10.1002/MGG3.214
P577
2016-03-14T00:00:00Z