Design of Genetic Circuit for Monitoring and Treatment of Stroke

2018 2nd annual International Conference on Cloud Technology and Communication Engineering

计算机科学;无线电电子学

Wang, Xiang^1 ; Yu, Qianqian^1 ; Si, Yu^1 ; Wang, Xiaocui^1 ; Shi, Wei^1 ; Xia, Tongsheng^1 ; Li, Hongge^1

School of Electronic and Information Engineering, Beihang University, Beijing

100191, China^1

关键词: Critical circuits;    Detection and diagnosis;    Detection circuits;    Genetic circuits;    Marker detections;    Mutual informations;    Principle component analysis;    Research and application;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/466/1/012051/pdf
DOI  :  10.1088/1757-899X/466/1/012051

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Nowadays, stroke has become a huge threat to human health and has become the first one of the top ten causes for death in the world. In the detection and diagnosis of stroke, optimization of markers and design of corresponding gene circuits have important research and application prospects. In this paper, we propose an improved Support Vector Model (SVM) by combining Principle Component Analysis (PCA) with Mutual Information (MI) to effectively figure out the proper stroke biomarkers with high specificity and sensitivity. The design of the single-index detection circuits is implemented. And the input circuit and critical circuit of the Single-index Detection Circuit are analysed. On the basis of the single-index detection circuit, a multi-marker detection circuit is built using OR GATE and AND GATE logic circuits to achieve the detection of multi-markers.