Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.
about
The Role of Omics in the Application of Adverse Outcome Pathways for Chemical Risk Assessment.Advancing the adverse outcome pathway framework-An international horizon scanning approach.Risks of Plastic Debris: Unravelling Fact, Opinion, Perception, and Belief.High-throughput H295R steroidogenesis assay: utility as an alternative and a statistical approach to characterize effects on steroidogenesis.Editor's Highlight: Mechanistic Toxicity Tests Based on an Adverse Outcome Pathway Network for Hepatic Steatosis.Application of Adverse Outcome Pathways to U.S. EPA's Endocrine Disruptor Screening Program.Advancing the assessment of population stability as a protection goal in ecotoxicology.Adverse outcome pathways: a concise introduction for toxicologists.A Framework for Linking Population Model Development with Ecological Risk Assessment Objectives.Adverse Outcome Pathway Networks II: Network Analytics.
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P2860
Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.
description
2017 nî lūn-bûn
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2017年の論文
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2017年学术文章
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2017年学术文章
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2017年学术文章
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2017年学术文章
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2017年学术文章
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2017年学术文章
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2017年學術文章
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2017年學術文章
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name
Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.
@en
Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.
@nl
type
label
Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.
@en
Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.
@nl
prefLabel
Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.
@en
Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.
@nl
P2093
P2860
P50
P356
P1476
Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.
@en
P2093
David H Miller
Karen H Watanabe
Michael L Mayo
WanYun Cheng
P2860
P304
P356
10.1021/ACS.EST.6B06230
P407
P577
2017-03-29T00:00:00Z