Coronary artery disease associated specific modules and feature genes revealed by integrative methods of WGCNA, MetaDE and machine learning

Wang Yan; Liu Tao; Liu Yan; Chen Jun; Xin Benqiang; Wu Maoyuan; Cui Weigang

首页> 外文期刊>Gene: An International Journal Focusing on Gene Cloning and Gene Structure and Function >Coronary artery disease associated specific modules and feature genes revealed by integrative methods of WGCNA, MetaDE and machine learning

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Coronary artery disease associated specific modules and feature genes revealed by integrative methods of WGCNA, MetaDE and machine learning

机译：冠状动脉疾病相关的特异性模块和特征基因通过WGCNA，Metade和机器学习的整合方法揭示

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Purpose: Coronary artery disease (CAD) is one of the most common causes of morbidity and mortality globally. This work aimed to investigate the specific modules and feature genes associated with CAD.

机译：目的：冠状动脉疾病（CAD）是全球发病率和死亡率最常见的原因之一。这项工作旨在研究与CAD相关的特定模块和特征基因。

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来源
《Gene: An International Journal Focusing on Gene Cloning and Gene Structure and Function》 |2019年第2019期|共9页
作者
Wang Yan; Liu Tao; Liu Yan; Chen Jun; Xin Benqiang; Wu Maoyuan; Cui Weigang;
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作者单位

Rizhao Peoples Hosp Dept Internal Med Cardiovasc 126 Taian Rd Rizhao 276826 Shandong Peoples R;

Rizhao Peoples Hosp Dept Resp Rizhao 276826 Shandong Peoples R China;

Rizhao Peoples Hosp Dept Internal Med Cardiovasc 126 Taian Rd Rizhao 276826 Shandong Peoples R;

Rizhao City TB Control Inst Dept Med Image Rizhao 276800 Shandong Peoples R China;

Rizhao Peoples Hosp Dept Internal Med Cardiovasc 126 Taian Rd Rizhao 276826 Shandong Peoples R;

Rizhao Peoples Hosp Dept Internal Med Cardiovasc 126 Taian Rd Rizhao 276826 Shandong Peoples R;

Rizhao Peoples Hosp Dept Internal Med Cardiovasc 126 Taian Rd Rizhao 276826 Shandong Peoples R;

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原文格式 PDF
正文语种 eng
中图分类医学遗传学;
关键词
Coronary artery disease; Weighted gene co-expression network analysis; Specific modules; Feature genes; Protein-protein interaction; Machine learning;

机译：冠状动脉疾病;加权基因共表达网络分析;特定模块;特征基因;蛋白质 - 蛋白质相互作用;机器学习;

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专利

1. Coronary artery disease associated specific modules and feature genes revealed by integrative methods of WGCNA, MetaDE and machine learning [J] . Wang Yan, Liu Tao, Liu Yan, Gene: An International Journal Focusing on Gene Cloning and Gene Structure and Function . 2019,第期

机译：冠状动脉疾病相关的特异性模块和特征基因通过WGCNA，Metade和机器学习的整合方法揭示
2. Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease [J] . Jing Liu, Ling Jing, Xilin Tu BMC Cardiovascular Disorders . 2016,第1期

机译：加权基因共表达网络分析确定与冠状动脉疾病相关的特定模块和枢纽基因
3. Prediction of cardiovascular diseases by integrating multi-modal features with machine learning methods [J] . Li Pengpai, Hu Yongmei, Liu Zhi-Ping Biomedical signal processing and control . 2021,第Apra期

机译：用机器学习方法集成多模态特征来预测心血管疾病
4. Coronary Artery Disease Diagnosis Using Feature Selection Based Hybrid Extreme Learning Machine [C] . Afzal Hussain Shahid, Maheshwari Prasad Singh, Bishwajit Roy, International Conference on Information and Computer Technologies . 2020

机译：基于特征选择的混合极限学习机在冠状动脉疾病诊断中的应用
5. A Study of the Efficacy of Machine Learning for Diagnosing Obstructive Coronary Artery Disease in Non-Diabetic Patients [D] . Handley, Demond Larae. 2020

机译：机器学习在非糖尿病患者诊断阻塞性冠状动脉疾病的效果研究
6. Integrative analysis of promising molecular biomarkers and pathways for coronary artery disease using WGCNA and MetaDE methods [O] . Shilin Yan -1

机译：使用WGCNA和MetaDE方法对冠状动脉疾病有希望的分子生物标志物和途径进行综合分析
7. Integrative analysis of promising molecular biomarkers and pathways for coronary artery disease using WGCNA and MetaDE methods [O] . Shilin Yan 2018

机译：WGCNA和Metade方法对冠状动脉疾病有前途分子生物标志物和途径的综合分析

Coronary artery disease associated specific modules and feature genes revealed by integrative methods of WGCNA, MetaDE and machine learning

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