Application of Principle Component Analysis and Logistic Regression in Analyzing miRNA Markers of Brain Arteriovenous Malformation

• Published in: Shanghai jiao tong da xue xue bao Vol. 19; no. 6; pp. 641 - 645
• Main Author: 蒋路 黄俊 张志君 杨国源 王永亭
• Format: Journal Article
• Language: English
• Published: Heidelberg Shanghai Jiaotong University Press 01.12.2014
• Subjects: Architecture; Brain; Computer Science; Electrical Engineering; Engineering; Life Sciences; Logistics; Magnetic resonance imaging; Markers; Materials Science; Mathematical models; Regression; Regression analysis; Ribonucleic acids; Risk; brain arteriovenous malformation (BAVM); logistic regression (LR); principle component analysis (PCA); microRNAs (miRNAs); Q 189

Brain arteriovenous malformation（BAVM） is frequently described as vascular malformation. Although computer tomography（CT）, magnetic resonance imaging（MRI） and angiography can clearly detect lesions, there are no diagnostic biological markers of BAVM available. Current study demonstrated that micro R...