PREMER
PREMER (Parallel Reverse Engineering with Mutual information & Entropy Reduction) is an open-source, multi-platform tool for inferring network structures from data using information-theoretic measures. It predicts links, their relative strength and direction, handles missing values and outliers, and can use prior knowledge. Runs on MATLAB/Octave and Python.
Basic Information
| Repository | https://sites.google.com/site/premertoolbox/downloads |
| Documentation | https://sites.google.com/site/premertoolbox/ |
| Main publication (DOI) | 10.1109/TCBB.2017.2758786 view |
| Contact email | j.r.banga@csic.es |
| Authors/Maintainers | Julio Rodriguez Banga |
| Type of application | Desktop application |
| Programming languages | MATLABPythonFortran |
| Keywords | Gene regulatory networks, Systems Biology, Network Biology |
Technical details
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| Software compatibility | Linux, Mac, Windows |
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Statistics
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| Citations (last 12 months) | <100 (~0 as of 15/10/2026) |
| Citations (since first release) | <100 (7 as of 15/10/2026) |
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