Logistic regression algorithm to identify candidate disease genes based on reliable protein-protein interaction network

作     者：Xiujuan LEI Wenxiang ZHANG Xiujuan LEI;Wenxiang ZHANG

作者机构：School of Computer Science Shaanxi Normal University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2021年第64卷第7期

页      面：230-232页

核心收录：

学科分类：0710[理学-生物学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 071007[理学-遗传学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Natural Science Foundation of China (Grant Nos. 61672334, 61972451, 61902230) Fundamental Research Funds for the Central Universities (Grant No. GK201901010) 

主　　题：Disease genes Logistic regression algorithm Multiple biological data Topological similarity of heterogeneous network Reconstructed PPI network 

摘      要：Dear editor,Genetic diseases have seriously threatened human health;however, identifying candidate disease genes is expected to contribute to understanding complex genetic diseases. Several machine learning algorithms based on protein-protein interaction (PPI) network have been developed to prioritize candidate diseases [1, 2].