| Autor: |
Phuycharoen, Mike, Zarrineh, Peyman, Bridoux, Laure, Amin, Shilu, Losa, Marta, Bobola, Nicoletta, Rattray, Magnus |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| DOI: |
10.5281/zenodo.3485222 |
| Popis: |
Deep learning models of MEIS differential binding in mouse branchial arches, and MEF2D differential binding in three mouse tissues (cortical neurons, retina, myotubes). You can use the code in 'main' alone to train architectures described in the paper using your own files. Instructions are provided in a Jupyter notebook within the archive. To replicate theresults in the paperdownloadand unpack 'main', then download and unpack the other archivesinto the root folder of 'main'. Thezips contain TF-specific scripts, datasets, and trained models. Regions in .bed formatare contained in 'meis-data' and 'mef2d-data' archives, together with shuffle permutations for replicable testing. Trained Keras models, as well as hyper-parameter sets from model selection, and scripts used to train and attribute over the datasets are contained in 'meis-models' and 'mef2d-models' archives.ChIPseq_PoissonTest file containsR code used to perform the Poisson test withChIP-seq data. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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