PEP specifications

Information


Unique identifier OMICS_25734
Name PEP
Alternative name Predict Enhancer-Promoter
Software type Toolkit/Suite
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
License MIT License
Computer skills Advanced
Stability Stable
Requirements XGBoost, scikit-learn, pandas, numpy, gensim
Maintained Yes

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Documentation


Maintainer


  • person_outline Jian Ma <>

Publication for Predict Enhancer-Promoter

PEP institution(s)
Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA; Department of Automation, Tsinghua University, Beijing, China; Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
PEP funding source(s)
Supported by National Institutes of Health grant HG007352 and National Science Foundation grants 1054309 and 1262575, Tsinghua University’s Top Open program and National Science Foundation Graduate Research Fellowship DGE-1252522.

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