An integrative data mining approach to identifying adverse outcome pathway signatures - Oki, Noffisat O.; Edwards, Stephen W. (Toxicology (Amsterdam), 2016)
Keywords: Adverse outcome pathway (AOP); adverse outcome pathways; Animals; Biological; case studies; cpAOP; data collection; Data mining; Data Mining - methods; Databases, Factual; Emergency; fatty liver; Fatty Liver - genetics; Gene Expression; Genes; Glaucoma; Glaucoma - genetics; High-Throughput Screening Assays - methods; Humans; ligands; Liver; Networks; Pathways; phenotype; Receptors, Aryl Hydrocarbon - genetics; screening; Steatosis; Toxicogenetics - methods; toxicogenomics; Glaucoma; AOP; Adverse outcome pathway (AOP); HTS; DAVID; MeSH; AOP-KB; FIM; Steatosis; CTD; cpAOP; OECD; ECHA; KEGG; Kyoto encyclopedia of genes and genomes; high throughput screening; computationally predicted adverse outcome pathway; Organization for Economic Cooperation and Development; european chemicals agency; adverse outcome pathway; database for annotation, visualization and integrated discovery; frequent itemset mining; medical subject headings; adverse outcome pathway knowledgebase; comparative toxicogenomics database