CAMDA 2014: Learning from differential expression in the Japanese Toxicogenomic Project

H. Luuk
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Abstract

Our aim was to predict drug-induced liver injury potential from differential expression profiles in the Japanese Toxicogenomic Project's data. Additionally, we wondered which drug concentrations and treatment periods proved most informative for classification. The study confirmed that the effect of drugs on differential gene expression is dose and time-dependent suggesting that less information is contained in responses to low doses and short treatment periods. Cross-validation performance of predictions was low due to high false positive rate. Present results indicate that distinguishing between differential expression responses to nontoxic and toxic agents is non-trivial. The value of the Japanese Toxicogenomic Project's data for classification purposes would be increased if gene expression responses to additional nontoxic drugs were available.
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CAMDA 2014:从日本毒物基因组计划的差异表达中学习
我们的目的是通过日本毒物基因组计划数据中的差异表达谱来预测药物性肝损伤的可能性。此外,我们想知道哪种药物浓度和治疗时间对分类最有帮助。该研究证实,药物对差异基因表达的影响是剂量和时间依赖的,这表明在低剂量和短治疗周期的反应中包含的信息较少。由于假阳性率高,预测的交叉验证性能较低。目前的结果表明,区分对无毒和有毒药物的差异表达反应是非常重要的。如果能够获得对其他无毒药物的基因表达反应,日本毒物基因组计划的分类数据的价值将会增加。
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