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-Reference-Cited by-同舟云学术

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

Published:2019-12 Issue: Volume:291 Page:34-43
ISSN:0021-9150
Container-title:Atherosclerosis
language:en
Short-container-title:Atherosclerosis

Author:

Wang Xue-bin,Cui Ning-hua,Liu Xia'nan,Ming Liang

Funder

National Basic Research Program of China

Union Program of the Key Scientific and Technological Project of Henan Province

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

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