MChip: A tool for influenza surveillance

被引：62
作者：
Dawson, Erica D.
Moore, Chad L.
Smagala, James A.
Dankbar, Daniela M.
Mehlmann, Martin
Townsend, Michael B.
Smith, Catherine B.
Cox, Nancy J.
Kuchta, Robert D.
Rowlen, Kathy L.
机构：
[1] Univ Colorado, Dept Chem & Biochem, Boulder, CO 80309 USA
[2] Ctr Dis Control & Prevent, Influenza Div, Atlanta, GA 30333 USA
[3] InDevR LLC, Boulder, CO 80301 USA
来源：
ANALYTICAL CHEMISTRY | 2006年 / 78卷 / 22期
关键词：
D O I：
10.1021/ac061739f
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
The design and characterization of a low-density microarray for subtyping influenza A is presented. The microarray consisted of 15 distinct oligonucleotides designed to target only the matrix gene segment of influenza A. An artificial neural network was utilized to automate microarray image interpretation. The neural network was trained to recognize fluorescence image patterns for 68 known influenza viruses and subsequently used to identify 53 unknowns in a blind study that included 39 human patient samples and 14 negative control samples. The assay exhibited a clinical sensitivity of 95% and clinical specificity of 92%.
引用
收藏
页码：7610 / 7615
页数：6
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