EP2vec specifications


Unique identifier OMICS_32296
Name EP2vec
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
Computer skills Advanced
Stability Stable
Maintained Yes




No version available


  • person_outline Rui Jiang

Publication for EP2vec

EP2vec citation


Prediction of enhancer promoter interactions via natural language processing

BMC Genomics
PMCID: 5954283
PMID: 29764360
DOI: 10.1186/s12864-018-4459-6

[…] In conclusion, EP2vec extracts sequence embedding features using unsupervised deep learning method and predicts EPIs accurately using GBRT classifier achieving state-of-the-art performance. Different from the previo […]

EP2vec institution(s)
MOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, Beijing, China; Department of Automation, Tsinghua University, Beijing, China; Department of Computer Science, Tsinghua University, Beijing, China
EP2vec funding source(s)
Supported by the National Natural Science Foundation of China (61573207, 61175002, 61721003).

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