In silico toxicity prediction of chemicals from EPA toxicity database by kernel fusion-based support vector machines
发布时间:2021-12-02
点击次数:
发表刊物:Chemometrics and Intelligent Laboratory Systems
论文类型:期刊论文
文献类型:J
卷号:146
页面范围:494-502
是否译文:否
发表时间:2015-08-15
收录刊物:SCI
发布期刊链接:https://www.sciencedirect.com/science/article/pii/S0169743915001756
附件:
上一条: Value of Neutrophil Counts in Predicting Surgery-Related Acute Kidney Injury and the Interaction of These Counts With Diabetes in Chronic Kidney Disease Patients With Hypertension
下一条: Ratiometric and colorimetric detection of hydrogen sulfide with high selectivity and sensitivity using a novel FRET-based fluorescence probe