Hanyang Med Rev.  2017 Nov;37(2):93-98. 10.7599/hmr.2017.37.2.93.

A Review of Deep Genomics Applying Machine Learning in Genomic Medicine

• Kim TH

• KMID: 2424834
• DOI: http://doi.org/10.7599/hmr.2017.37.2.93

Abstract

Genomic medicine is to determine how an individual's DNA alteration can affect the risk of various diseases and to understand mechanisms and design targeted treatments. Here, we focus on how machine learning helps model the relationship between DNA and molecular phenotypes in a cell. Modern biology enables high throughput measurements of many cellular variables that can be handled as a training target for predictable models, such as gene expression, splicing, and protein binding to DNA or mRNA. With the increasing availability of large datasets and advanced computer skills such as deep learning, researchers have opened a new era in effective genomic medicine.

Keyword

deep learning; machine learning; genomic data; genome biology; genome medicine

MeSH Terms

Biology
Dataset
DNA
Gene Expression
Genomics*
Learning
Machine Learning*
Phenotype
Protein Binding
RNA, Messenger
DNA
RNA, Messenger

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