机器学习在脑血管病基因组学数据分析中的应用进展 Application of Machine Learning in Genomic Data Analysis of Cerebrovascular Diseases

• Published in: Zhongguo cuzhong zazhi Vol. 18; no. 7; pp. 751 - 757
• Main Author: 姜英玉，陈思玎，仇鑫，谷鸿秋
• Format: Journal Article
• Language: Chinese
• Published: Editorial Department of Chinese Journal of Stroke 01.07.2023
• Subjects: cerebrovascular disease; deep learning; genomics; machine learning; 基因组学; 机器学习; 深度学习; 脑血管病
• ISSN: 1673-5765
• DOI: 10.3969/j.issn.1673－5765.2023.07.003

随着精准医疗时代的到来，在脑血管病领域，基因组学研究受到越来越多的关注。基因组学数据的高维复杂性，使得机器学习成为分析基因组学数据的最为有效的工具之一。本文对机器学习的基本概念、主要步骤、算法分类以及各算法在脑血管病领域基因组学研究中的应用现状进行介绍，以期为未来脑血管病基因组学研究提供参考。 Abstract: With the advent of the era of precision medicine, genomics research is gradually gaining widespread attention in the field of cerebrovascular diseases. Due to the high-dimensional and complexity of genomics data, machine learning is now an effective tool for analyzing genomics data. This article introduced the basic concepts of machine learning, the main steps, the classification of algorithms and the application of each algorithm of machine learning in genomics research in the field of cerebrovascular diseases, in order to provide a reference for future genomics research in cerebrovascular diseases.