文献检索/Journal of Hazardous MaterialsEM-T2Journal of Hazardous Materials2025-02-22第 489 卷，137650-137650开放获取Development of a deep neural network model based on high throughput screening data for predicting synergistic estrogenic activity of binary mixtures for consumer productsJongwoon KimKorea Research Institute of Chemical TechnologySeung‐Jin LeeKorea Institute of ToxicologyDaeyoung JungKorea Research Institute of Chemical TechnologyHyun Young KimKorea Research Institute of Chemical TechnologyJung-In LeeKorea Research Institute of Chemical TechnologyMyungwon SeoKorea Research Institute of Chemical TechnologySunmi KimKorea Research Institute of Chemical TechnologyJiwon ChoiKorea Research Institute of Chemical TechnologyWook‐Joon YuKorea Institute of ToxicologyHeeyeong ChoKorea Research Institute of Chemical Technology去出版社页面 引用论文图谱收藏 被引提醒分享打印登录后看摘要和中文要点英文摘要、AI 生成的中文摘要和三条要点、参考文献和引证文献列表、论文图谱，注册免费。登录 / 注册关键词binary mixturesendocrine disruptorsconsumer goodscocktail effectdeep neural networkhigh-throughput screeningdose-response curvesreproductive toxicitychemical mixturesrandom forest comparison参考文献109引证文献1相似文献引文网络关联作者相关机构登录后可以看完整列表。去登录论文图谱本篇和它的参考文献、引证文献、相似文献登录后可以看这篇的论文图谱：谁被它引用、谁引用了它、还有哪些相似的研究。登录 / 注册
