Prediction of enhancer-promoter interactions via natural language processing

Prediction of enhancer-promoter interactions via natural language processing

Abstract Background Precise identification of three-dimensional genome organization, especially enhancer-promoter interactions (EPIs), is important to deciphering gene regulation, cell differentiation and disease mechanisms. Currently, it is a challenging task to distinguish true interactions from o...

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Bibliographic Details
Main Authors: Wanwen Zeng, Mengmeng Wu, Rui Jiang
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BMC Genomics
Subjects:
Enhancer-promoter interactions
Three-dimensinal interactions
Natural language processing
Unsupervised learning
Online Access:http://link.springer.com/article/10.1186/s12864-018-4459-6

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