基于算法的 HIV-1 亚型 D 核心受体使用预测。
Algorithm-based prediction of HIV-1 subtype D coreceptor use.
机构信息
Laboratoire de Virologie, CHU de Caen, Caen, France. Dina,
出版信息
J Clin Microbiol. 2013 Sep;51(9):3087-9. doi: 10.1128/JCM.00798-13. Epub 2013 Jun 26.
Abstract
We compared the coreceptor tropism-predicting performance of a specific genotypic algorithm for HIV-1 subtype D and that of the geno2pheno algorithm with different cutoffs. The D-specific algorithm and geno2pheno with a false-positivity rate cutoff of 2.5% had the same concordance with the phenotypic determination. The geno2pheno algorithm with a false-positivity rate cutoff of 2.5%, more sensitive but slightly less specific, seems to be an appropriate alternative.
摘要
我们比较了一种特定的 HIV-1 亚型 D 基因型算法和不同截断值的 geno2pheno 算法在预测辅助受体嗜性方面的性能。D 型特异性算法和假阳性率截断值为 2.5%的 geno2pheno 与表型测定具有相同的一致性。假阳性率截断值为 2.5%的 geno2pheno 算法更敏感但特异性略低，似乎是一种合适的替代方法。
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