MERRIN: MEtabolic Regulation Rule INference from time series data (Docker image and notebooks)
Authors/Creators
- 1. Univ Rennes, Inria, CNRS, IRISA, F-35000 Rennes, France
- 2. LIPME, INRAE, CNRS, Université de Toulouse, Castanet-Tolosan, France
- 3. Freie Universität Berlin, Institute of Mathematics, D-14195 Berlin, Germany
- 4. Univ. Bordeaux, Bordeaux INP, CNRS, LaBRI, UMR5800, F-33400 Talence, France
Description
This record contains notebooks and Docker image for reproducing the results of the paper "MERRIN: MEtabolic Regulation Rule INference from time series data" published as part of the ECCB 2022 conference.
Notebooks can be executed interactively within the Docker image bioasp/merrin:v1 which extends the CoLoMoTo Docker version 2021-02-01.
Also see https://github.com/bioasp/merrin-covert
The Docker image can be executed as follows:
docker pull bioasp/merrin:v1
docker run -it --rm -p 8888:8888 bioasp/merrin:v1
then point your browser to http://127.0.0.1:8888.
The image can be imported using the command docker load with the image file provided in this record:
docker load -i image.tar.gz
or with the donodo command available at https://github.com/pauleve/donodo:
pip install -U donodo
donodo pull 10.5281/zenodo.6670165
Files
1 - Ground-truth generation.ipynb
Files
(862.1 MB)
| Name | Size | |
|---|---|---|
|
md5:bba0e05ae83aa79ffe575cf67c601e9b
|
8.1 kB | Preview Download |
|
md5:75462e47294b7a63f80830f1fa374bf0
|
14.3 kB | Preview Download |
|
md5:d0ea2277cd0cf29b71f3088186b39d1c
|
11.1 kB | Preview Download |
|
md5:095f2a6ccc540368c5f04ce620e12274
|
8.0 kB | Preview Download |
|
md5:49be379f385dd71a9e1e1a9c611c3ad7
|
15.4 kB | Preview Download |
|
md5:eb14543162436934ba032af11713deda
|
4.5 kB | Preview Download |
|
md5:340302ced1a538d9bca293c17908cffb
|
829 Bytes | Download |
|
md5:a79966adfc8f0c3ef4e3db7e56214fa0
|
862.0 MB | Download |
Additional details
Related works
- Is derived from
- Software: https://github.com/bioasp/merrin-covert (URL)
Funding
- Agence Nationale de la Recherche
- BNeDiction - Predictive Boolean Network Ensembles ANR-20-CE45-0001