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DeepChrome: deep-learning for predicting gene expression from histone modifications
2016
Bioinformatics
Motivation: Histone modifications are among the most important factors that control gene regulation. Computational methods that predict gene expression from histone modification signals are highly desirable for understanding their combinatorial effects in gene regulation. This knowledge can help in developing 'epigenetic drugs' for diseases like cancer. Previous studies for quantifying the relationship between histone modifications and gene expression levels either failed to capture
doi:10.1093/bioinformatics/btw427
pmid:27587684
fatcat:zhxtdzrw2rbt3lmnnbgflinqmq