Identification of a blood-based 12-gene signature that predicts the severity of coronary artery stenosis: An integrative approach based on gene network construction, Support Vector Machine algorithm, and multi-cohort validation
Identification of a blood-based 12-gene signature that predicts the severity of coronary artery stenosis: An integrative approach based on gene network construction, Support Vector Machine algorithm, and multi-cohort validation
复制标题
识别基于血液的 12 基因特征，预测冠状动脉狭窄的严重程度：基于基因网络构建、支持向量机算法和多队列验证的综合方法
DOI：
10.1016/j.atherosclerosis.2019.10.001
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发表时间：
2019
期刊：
影响因子：
5.3
通讯作者：
Liang Ming
中科院分区：
文献类型：
--
作者：
Xue-bin Wang;Ning-hua Cui;Xia'nan Liu;Liang Ming
