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

被引：0
|
作者：
Xiujuan LEI [1 ]
Wenxiang ZHANG [1 ]
机构：
[1] School of Computer Science, Shaanxi Normal University
来源：
ScienceChina(InformationSciences) | 2021年 / 64卷 / 07期
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论]; R394 [医学遗传学];
学科分类号：
0710 ; 071007 ; 081104 ; 0812 ; 0835 ; 1405 ;
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].
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收藏
页码：230 / 232
页数：3
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