Published November 29, 2022
| Version v1
Dataset
Open
Saved model and preprocessed data for "CRMnet:a deep learning model for predicting gene expression from large regulatory sequence datasets"
Creators
- 1. Division of Genome Science and Cancer, John Curtin School of Medical Research, Australian National University
- 2. School of Computing and Biological Data Science Institute, Australian National University, Canberra, ACT, Australia
Description
Saved TUNet model and preprocessed training data for "CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets"
To load the trained model:
import tensorflow as tf
tf.keras.models.load_model("path to the model folder")
for more information please find our repository: https://github.com/jiayuwen/CRMnet
Files
Archive.zip
Files
(1.6 GB)
Name | Size | Download all |
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md5:5dc245424fae813fa9c9ba5e9d48b999
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