未登录 分享 收藏
分享 收藏
分享 收藏
分享 收藏
Development of a deep neural network model based on high throughput screening data for predicting synergistic estrogenic activity of binary mixtures for consumer products 基于高通量筛选数据的深度神经网络模型开发,用于预测消费产品中二元混合物的协同雌激素活性 Kim, Jongwoon; Lee, Seung-Jin; Jung, Daeyoung; Kim, Hyun Young; Lee, Jung-In; Seo, Myungwon; Kim, Sunmi; Choi, Jiwon; Yu, Wook-Joon; Cho, Heeyeong 分享 收藏
分享 收藏
分享 收藏
分享 收藏
Predictive biomarkers for embryotoxicity: a machine learning approach to mitigating multicollinearity in RNA-Seq 胚胎毒性的预测生物标志物: 减轻rna-seq多重共线性的机器学习方法 Quah, Yixian; Jung, Soontag; Chan, Jireh Yi-Le; Ham, Onju; Jeong, Ji-Seong; Kim, Sangyun; Kim, Woojin; Park, Seung-Chun; Lee, Seung-Jin; Yu, Wook-Joon 分享 收藏
Rapid quantitative high-throughput mouse embryoid body model for embryotoxicity assessment Quah, Yixian; Jung, Soontag; Ham, Onju; Jeong, Ji-Seong; Kim, Sangyun; Kim, Woojin; Chan, Jireh Yi-Le; Park, Seung-Chun; Lee, Seung-Jin; Yu, Wook-Joon 分享 收藏
Assessing systemic, developmental, and reproductive toxicity and estrogenicity of Korean red ginseng extract G1899 in juvenile Sprague-Dawley Rats Kim, Sangyun; Jeong, Ji-Seong; Kim, Woojin; Ham, Onju; Quah, Yixian; Jung, Soontag; Park, Dong-Ju; Kim, Min Jae; Han, Byung-Cheol; Kim, Eunji; Lee, Seung-Jin; Yu, Wook-Joon 分享 收藏
分享 收藏
分享 收藏
分享 收藏
分享 收藏
分享 收藏
分享 收藏
分享 收藏
分享 收藏
Prenatal developmental toxicity study of 2,4-dichlorobenzyl alcohol in rats Moon, Kyeong-Nang; Baek, Sang-Ki; Kim, Woojin; Jeong, Ji-Seong; Lee, Byoung-Seok; Quah, Yixian; Lee, Jinsoo; Kim, Sang Yun; Lee, Seung-Jin; Kim, Kyu-Bong; Yu, Wook-Joon 分享 收藏