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"

Authors/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)

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