An artificial neural network and Random Forest identify glyphosate-impacted brackish communities based on 16S rRNA amplicon MiSeq read counts
Author:
Funder
BMBF
EU
Federal Ministry of Education and Research
Publisher
Elsevier BV
Subject
Pollution,Aquatic Science,Oceanography
Reference38 articles.
1. Deep learning for computational biology;Angermueller;Mol. Syst. Biol.,2016
2. HELCOM Baltic Sea Action Plan - a regional programme of measures for the marine environment based on the Ecosystem Approach;Backer;Mar. Pollut. Bull.,2010
3. Glyphosate and its degradation product AMPA occur frequently and widely in U.S. soils, surface water, groundwater, and precipitation;Battaglin;J. Am. Water Resour. Assoc.,2014
4. The distribution of phytoplankton in the Baltic Sea assessed by a prokaryotic 16S rRNA gene primer system;Bennke;J. Plankton Res.,2018
5. Laboratory and lysimeter studies of glyphosate and aminomethylphosphonic acid in a sand and a clay soil;Bergström;J. Environ. Qual.,2011
Cited by 14 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. Visualizing preferential flow paths using dye tracer and species diversity theory methods to explore their correlation to soil properties with random forest algorithm;Journal of Hydrology;2024-07
2. Investigating Biodegradation of 1,4-Dioxane by Groundwater and Soil Microbiomes: Insights into Microbial Ecology and Process Prediction;ACS ES&T Water;2023-09-22
3. The effect of Shengmai injection in patients with coronary heart disease in real world and its personalized medicine research using machine learning techniques;Frontiers in Pharmacology;2023-09-14
4. Establishment and Analysis of a Combined Diagnostic Model of Alzheimer's Disease With Random Forest and Artificial Neural Network;Frontiers in Aging Neuroscience;2022-06-30
5. A Prediction Model for Tacrolimus Daily Dose in Kidney Transplant Recipients With Machine Learning and Deep Learning Techniques;Frontiers in Medicine;2022-05-27
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