Saved model and preprocessed data for "CRMnet:a deep learning model for predicting gene expression from large regulatory sequence datasets"

Name: Saved model and preprocessed data for "CRMnet:a deep learning model for predicting gene expression from large regulatory sequence datasets"
Creator: School of Computing and Biological Data Science Institute, Australian National University, Canberra, ACT, Australia; Jiayu Wen; Division of Genome Science and Cancer, John Curtin School of Medical Research, Australian National University
Published: 2022-11-29T00:00:00+08:00

Zenodo2022-11-29 更新2026-04-07 收录

基因表达预后预测

调控序列分析

数据链接：

https://zenodo.org/record/7375243 数据链接链接失效反馈

官方服务：

资源简介：

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: <pre><code class="language-python">import tensorflow as tf tf.keras.models.load_model("path to the model folder")</code></pre> for more information please find our repository: https://github.com/jiayuwen/CRMnet

提供机构：

School of Computing and Biological Data Science Institute, Australian National University, Canberra, ACT, Australia; Jiayu Wen; Division of Genome Science and Cancer, John Curtin School of Medical Research, Australian National University

创建时间：

2022-11-29