Potential targets of endocrine-disrupting chemicals related to breast cancer identified by ToxCast and deep learning models-Reference-Cited by-同舟云学术

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Potential targets of endocrine-disrupting chemicals related to breast cancer identified by ToxCast and deep learning models

Published:2023-05-31 Issue:1-7 Volume:105 Page:128-143
ISSN:0277-2248
Container-title:Toxicological & Environmental Chemistry
language:en
Short-container-title:Toxicological & Environmental Chemistry

Author:

Guan Miaomiao¹,Qi Guanpeng²,Li Zuojing³,Hou Xiaohong¹

Affiliation:

1. School of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang, PR China

2. School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, PR China

3. School of Medical Devices, Shenyang Pharmaceutical University, Shenyang, PR China

Publisher

Informa UK Limited

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/02772248.2023.2212827

Reference39 articles.

1. Fatty acids differentially modify the expression of urokinase type plasminogen activator receptor in monocytes

2. The influence of base rates on correlations: An evaluation of proposed alternative effect sizes with real-world data

3. Hepatocyte-specific PPARA expression exclusively promotes agonist-induced cell proliferation without influence from nonparenchymal cells

4. A high-level overview of the OECD AOP Development Programme

5. c-Myc enhances colon cancer cell-mediated angiogenesis through the regulation of HIF-1α

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning approaches to detect breast cancer: a comprehensive review;Multimedia Tools and Applications;2024-08-20

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