Contextualization of causal regulatory networks from toxicogenomics data applied to drug-induced liver injury
Author:
Funder
European Commission
Sanofi
Innovative Medicines Initiative
Horizon 2020 Framework Programme
GlaxoSmithKline
European Federation of Pharmaceutical Industries and Associations
Publisher
Elsevier BV
Subject
Toxicology,General Medicine
Reference52 articles.
1. Logical Modeling and Dynamical Analysis of Cellular Networks;Abou-Jaoudé;Front. Genet.,2016
2. Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data;Alexander-Dann;Mol Omics,2018
3. Systems pharmacology to predict drug toxicity: integration across levels of biological organization;Bai;Annu. Rev. Pharmacol. Toxicol.,2013
4. CausalR: extracting mechanistic sense from genome scale data;Bradley;Bioinformatics,2017
5. DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans;Chen;Drug Discov. Today,2016
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