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J

Julen Sanz-Serrano

Vrije Universiteit Brussel
H指数:12
被引数:856

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A quantitative weight-of-evidence method for confidence assessment of adverse outcome pathway networks: A case study on chemical-induced liver steatosis

不良结局通路网络可信度评估的定量证据权重法 -- 以化学性肝脂肪变性为例

2024-06-016
PRE
Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approach

使用人工智能辅助的数据收集和置信度量化方法优化化学诱导的胆汁淤积的不良结果途径网络

2023-09-0110
OAAI
Measuring DNA modifications with the comet assay: a compendium of protocols

用彗星测定法测量DNA修饰: 协议纲要

2023-01-27143
OA