Network-Based Assessment of Environmental Neurotoxicants Using High-Throughput Transcriptomics in Zebrafish Embryos
Pu Xia(The Edgbaston Hospital), Xi Zhang(Huazhong University of Science and Technology), John Giesy(Baylor University), Ying Peng(Beijing Normal University), Jing Guo(State Key Laboratory of Pollution Control and Resource Reuse), Wei Shi(State Key Laboratory of Pollution Control and Resource Reuse), Haoyue Tan(Ministry of Ecology and Environment), Shengnan Liu(State Key Laboratory of Pollution Control and Resource Reuse), Xiao Gou(State Key Laboratory of Pollution Control and Resource Reuse)
Cited by 2
Related Papers
Machine Learning: New Ideas and Tools in Environmental Science and Engineering
|Environmental Science & Technology|2021|921
Structures of Endocrine-Disrupting Chemicals Determine Binding to and Activation of the Estrogen Receptor α and Androgen Receptor
|Environmental Science & Technology|2020|78
Structures of Endocrine-Disrupting Chemicals Correlate with the Activation of 12 Classic Nuclear Receptors
|Environmental Science & Technology|2021|59
Are New Phthalate Ester Substitutes Safer than Traditional DBP and DiBP? Comparative Endocrine-Disrupting Analyses on Zebrafish Using <i>In Vivo</i>, Transcriptome, and <i>In Silico</i> Approaches
|Environmental Science & Technology|2023|42
Development, Validation, and Application of a Human Reproductive Toxicity Prediction Model Based on Adverse Outcome Pathway
|Environmental Science & Technology|2022|35