A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury
Published 2017 View Full Article
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Title
A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury
Authors
Keywords
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Journal
Nature Communications
Volume 8, Issue -, Pages 15932
Publisher
Springer Nature
Online
2017-07-03
DOI
10.1038/ncomms15932
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- (2016) Shannon M. Bell et al. TOXICOLOGICAL SCIENCES
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- (2016) Ruili Huang et al. Nature Communications
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- (2015) Melvin E. Andersen et al. ARCHIVES OF TOXICOLOGY
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- (2015) Zoubin Ghahramani NATURE
- Orchestrating high-throughput genomic analysis with Bioconductor
- (2015) Wolfgang Huber et al. NATURE METHODS
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- (2015) Matthew E. Ritchie et al. NUCLEIC ACIDS RESEARCH
- Statistical learning and selective inference
- (2015) Jonathan Taylor et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Setting Clinical Exposure Levels of Concern for Drug-Induced Liver Injury (DILI) Using Mechanisticin vitroAssays
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- Tidy Data
- (2015) Hadley Wickham Journal of Statistical Software
- A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the ‘rule-of-two’ model
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- (2014) Juuso A Parkkinen et al. BMC BIOINFORMATICS
- Systems Toxicology: From Basic Research to Risk Assessment
- (2014) Shana J. Sturla et al. CHEMICAL RESEARCH IN TOXICOLOGY
- Human drug-induced liver injury severity is highly associated with dual inhibition of liver mitochondrial function and bile salt export pump
- (2014) Michael D. Aleo et al. HEPATOLOGY
- Phenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanisms
- (2014) Nicole C Kleinstreuer et al. NATURE BIOTECHNOLOGY
- Open TG-GATEs: a large-scale toxicogenomics database
- (2014) Yoshinobu Igarashi et al. NUCLEIC ACIDS RESEARCH
- Genomic Models of Short-Term Exposure Accurately Predict Long-Term Chemical Carcinogenicity and Identify Putative Mechanisms of Action
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- Causal analysis approaches in Ingenuity Pathway Analysis
- (2013) Andreas Krämer et al. BIOINFORMATICS
- The Liver Toxicity Knowledge Base: A Systems Approach to a Complex End Point
- (2013) M Chen et al. CLINICAL PHARMACOLOGY & THERAPEUTICS
- Idiosyncratic drug-induced liver injury: an update on the 2007 overview
- (2013) S Hyder Hussaini et al. Expert Opinion On Drug Safety
- Characterization of drug-induced transcriptional modules: towards drug repositioning and functional understanding
- (2013) M. Iskar et al. Molecular Systems Biology
- A Correlation Between the In Vitro Drug Toxicity of Drugs to Cell Lines That Express Human P450s and Their Propensity to Cause Liver Injury in Humans
- (2013) Frida Gustafsson et al. TOXICOLOGICAL SCIENCES
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- (2013) Russell S. Thomas et al. TOXICOLOGICAL SCIENCES
- A high content screening assay to predict human drug-induced liver injury during drug discovery
- (2013) Mikael Persson et al. JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS
- Systems Pharmacology to Predict Drug Toxicity: Integration Across Levels of Biological Organization
- (2012) Jane P.F. Bai et al. Annual Review of Pharmacology and Toxicology
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- (2012) Suleiman A Khan et al. BMC BIOINFORMATICS
- To test or not to test: Preliminary assessment of normality when comparing two independent samples
- (2012) Justine Rochon et al. BMC Medical Research Methodology
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- Use of Micropatterned Cocultures to Detect Compounds That Cause Drug-Induced Liver Injury in Humans
- (2012) Salman R. Khetani et al. TOXICOLOGICAL SCIENCES
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- Advancing Regulatory Science
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