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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.
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