Designing Eukaryotic Gene Expression Regulation Using Machine Learning
Abstract
Machine learning (ML) models can predict gene expression levels from DNA sequences, given sufficiently large datasets. Such datasets are now rapidly becoming available for regions that regulate eukaryotic gene expression, namely promoters and untranslated regions (UTRs). These predictive models are increasingly used in algorithms for designing novel regulatory regions to achieve a desired fine-tuned expression level. ML models of gene expression...
Paper Details
Title
Designing Eukaryotic Gene Expression Regulation Using Machine Learning
Published Date
Feb 1, 2020
Journal
Volume
38
Issue
2
Pages
191 - 201
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