勘误：机器学习可实现对乳腺癌细胞活性分子的准确快速预测。

Corrigendum: Machine Learning Enables Accurate and Rapid Prediction of Active Molecules Against Breast Cancer Cells.

作者信息

He Shuyun, Zhao Duancheng, Ling Yanle, Cai Hanxuan, Cai Yike, Zhang Jiquan, Wang Ling

机构信息

Guangdong Provincial Key Laboratory of Fermentation and Enzyme Engineering, Guangdong Provincial Engineering and Technology Research Center of Biopharmaceuticals, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.

Joint International Research Laboratory of Synthetic Biology and Medicine, Guangdong Provincial Engineering and Technology Research Center of Biopharmaceuticals, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.

出版信息

Front Pharmacol. 2022 May 30;13:901513. doi: 10.3389/fphar.2022.901513. eCollection 2022.

DOI:10.3389/fphar.2022.901513

PMID:35707400

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9190301/

Abstract

[This corrects the article DOI: 10.3389/fphar.2021.796534.].

摘要

[本文更正了文章DOI：10.3389/fphar.2021.796534。]

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d351/9190301/b3800cab58e0/fphar-13-901513-g004.jpg

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