Moore Chad L, Smagala James A, Smith Catherine B, Dawson Erica D, Cox Nancy J, Kuchta Robert D, Rowlen Kathy L
Department of Chemistry and Biochemistry, UCB 215, University of Colorado at Boulder, Boulder, CO 80309, USA.
J Clin Microbiol. 2007 Nov;45(11):3807-10. doi: 10.1128/JCM.01089-07. Epub 2007 Sep 12.
The robustness of a recently developed diagnostic microarray for influenza, the MChip, was evaluated with 16 historic subtype H1N1 influenza A viruses (A/H1N1), including A/Brevig Mission/1/1918. The matrix gene segments from all 16 viruses were successfully detected on the array. An artificial neural network trained with temporally related A/H1N1 viruses identified A/Brevig Mission/1/1918 as influenza virus A/H1N1 with 94% probability.
一种最近开发的用于流感诊断的微阵列芯片MChip的稳健性,通过16种历史上的甲型H1N1流感病毒(A/H1N1)进行了评估,其中包括A/布雷维克·米申/1/1918。在该阵列上成功检测到了所有16种病毒的基质基因片段。用与时间相关的A/H1N1病毒训练的人工神经网络将A/布雷维克·米申/1/1918鉴定为甲型H1N1流感病毒,概率为94%。