A comparison of machine learning approaches for predicting hepatotoxicity potential using chemical structure and targeted transcriptomic data

Name: A comparison of machine learning approaches for predicting hepatotoxicity potential using chemical structure and targeted transcriptomic data
Creator: U.S. Environmental Protection Agency
Published: 2024-09-07T04:07:29+08:00

data.gov2024-09-07 收录

肝毒性预测

机器学习

数据链接：

https://catalog.data.gov/dataset/a-comparison-of-machine-learning-approaches-for-predicting-hepatotoxicity-potential-using-数据链接链接失效反馈

官方服务：

资源简介：

Supplementary data for "Tia Tate, Grace Patlewicz, Imran Shah, A comparison of machine learning approaches for predicting hepatotoxicity potential using chemical...

本补充数据集对应论文《Tia Tate、Grace Patlewicz、Imran Shah：利用化学物质预测肝毒性潜力的机器学习方法对比》（原文标题未完整给出）

提供机构：

U.S. Environmental Protection Agency