Machine learning for mixture toxicity analysis based on high-throughput printing technology-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Machine learning for mixture toxicity analysis based on high-throughput printing technology

Published:2020-01 Issue: Volume:207 Page:120299
ISSN:0039-9140
Container-title:Talanta
language:en
Short-container-title:Talanta

Author:

Duan Qiannan,Hu Yuan,Zheng Shourong,Lee Jianchao,Chen Jiayuan,Bi Sifan,Xu Zhaoyi

Funder

Major Science and Technology Program for Water Pollution Control and Treatment

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Analytical Chemistry

Reference24 articles.

1. A mechanism-based QSTR model for acute to chronic toxicity extrapolation: a case study of antibiotics on luminous bacteria;Wang;Sci. Rep.,2017

2. Extending the applicability of the dose addition model to the assessment of chemical mixtures of partial agonists by using a novel toxic unit extrapolation method;Scholze;PLoS One,2014

3. Concentration addition prediction for a multiple-component mixture containing no effect chemicals;Liu;Anal. Methods,2015

4. Measuring and modelling mixture toxicity of imidacloprid and thiacloprid on Caenorhabditis elegans and Eisenia fetida;Gomez-Eyles;Ecotoxicol. Environ. Saf.,2009

5. Dermatologist-level classification of skin cancer with deep neural networks;Esteva;Nature,2017

Cited by 7 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. A Machine-Learning-Driven Pathophysiology-Based New Approach Method for the Dose-Dependent Assessment of Hazardous Chemical Mixtures and Experimental Validations;Toxics;2024-06-30

2. Modeling mixtures interactions in environmental toxicology;Environmental Toxicology and Pharmacology;2024-03

3. Simultaneous quantification of multiple chemical properties of soil solution using smart spectroscopy;Journal of Soils and Sediments;2024-02-28

4. Advances and applications of machine learning and deep learning in environmental ecology and health;Environmental Pollution;2023-10

5. A spectral learning path for simultaneous multi-parameter detection of water quality;Environmental Research;2023-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3