Precision medicine is an emerging approach to clinical research and patient care that focuses on understanding and treating disease by integrating multi-modal or multi-omics data from an individual to make patient-tailored decisions. With the large and complex datasets generated using precision medicine diagnostic approaches, novel techniques to process and understand these complex data were needed. At the same time, computer science has progressed rapidly to develop techniques that enable the storage, processing, and analysis of these complex datasets, a feat that traditional statistics and early computing technologies could not accomplish. Machine learning, a branch of artificial intelligence, is a computer science methodology that aims to identify complex patterns in data that can be used to make predictions or classifications on new unseen data or for advanced exploratory data analysis. Machine learning analysis of precision medicine’s multi-modal data allows for broad analysis of large datasets and ultimately a greater understanding of human health and disease. This review focuses on machine learning utilization for precision medicine’s “big data”, in the context of genetics, genomics, and beyond.

Sarah J. MacEachern

Nils D. Forkert

Genome

GENOME 是一份月刊，成立于 1959 年，发表原创研究文章、评论、小型评论、当前观点和评论。感兴趣的领域包括一般遗传学和基因组学、细胞遗传学、分子和进化遗传学、发育遗传学、种群遗传学、系统基因组学、分子鉴定，以及生态、比较和功能基因组学等新兴领域。

Genome is a monthly journal established in 1959, publishing original research articles, reviews, mini-reviews, current perspectives, and commentaries. The journal covers a wide range of topics including general genetics and genomics, cytogenetics, molecular and evolutionary genetics, developmental genetics, population genetics, systems genomics, molecular identification, as well as emerging fields such as ecological, comparative, and functional genomics.

《Genome》是一本成立于1959年的月刊，主要发表原创研究文章、评论、小型评论、当前观点和综述。期刊关注的领域包括一般遗传学和基因组学、细胞遗传学、分子与进化遗传学、发育遗传学、种群遗传学、系统基因组学、分子鉴定，以及生态、比较和功能基因组学等新兴领域。

Machine learning for precision medicine

This review focuses on machine learning utilization for precision medicine's "big data", in the context of genetics, genomics, and beyond.

Category	Quartile
生物学	3
生物学, 生物工程与应用微生物	3
生物学, 遗传学	3

Machine learning for precision medicine

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Journal Info

Category	Quartile
GENETICS & HEREDITY	3