Pages that link to "Q35234236"

The following pages link to Genomic indicators in the blood predict drug-induced liver injury. (Q35234236):

Displaying 28 items.

• Identification of metabolites, clinical chemistry markers and transcripts associated with hepatotoxicity (Q21089700) (← links)
• Blood transcriptomics: applications in toxicology (Q23919602) (← links)
• Circulating mitochondrial biomarkers for drug-induced liver injury (Q26778353) (← links)
• Predictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay data (Q28730554) (← links)
• Analysis of the transcriptome in molecular epidemiology studies (Q28817795) (← links)
• The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models (Q30512428) (← links)
• Selecting a classification function for class prediction with gene expression data (Q31045026) (← links)
• Toxicogenomics profiling of bone marrow from rats treated with topotecan in combination with oxaliplatin: a mechanistic strategy to inform combination toxicity (Q35077321) (← links)
• The impact of classification of interest on predictive toxicogenomics (Q35740438) (← links)
• Identification of Identical Transcript Changes in Liver and Whole Blood during Acetaminophen Toxicity (Q36206111) (← links)
• Clinical implementation of RNA signatures for pharmacogenomic decision-making (Q36441512) (← links)
• Characterization of Conserved Toxicogenomic Responses in Chemically Exposed Hepatocytes across Species and Platforms. (Q36675500) (← links)
• The FDA's Experience with Emerging Genomics Technologies-Past, Present, and Future (Q37151755) (← links)
• Quantitative knowledge-based analysis in compound safety assessment (Q37831322) (← links)
• Transcriptional profiling to identify biomarkers of disease and drug response (Q37844547) (← links)
• A decade of toxicogenomic research and its contribution to toxicological science (Q38025961) (← links)
• Latest advances in predicting DILI in human subjects: focus on biomarkers (Q38045377) (← links)
• Molecular mechanisms of hepatic apoptosis (Q38179202) (← links)
• Standardization efforts enabling next-generation sequencing and microarray based biomarkers for precision medicine (Q38616603) (← links)
• Gamma-Glutamylcysteine Ethyl Ester Protects against Cyclophosphamide-Induced Liver Injury and Hematologic Alterations via Upregulation of PPARγ and Attenuation of Oxidative Stress, Inflammation, and Apoptosis. (Q39028144) (← links)
• Whole-genome gene expression modifications associated with nitrosamine exposure and micronucleus frequency in human blood cells. (Q39732810) (← links)
• Release of (and lessons learned from mining) a pioneering large toxicogenomics database. (Q40843389) (← links)
• 'Omics analysis of low dose acetaminophen intake demonstrates novel response pathways in humans (Q42721948) (← links)
• Biomarker classifiers for identifying susceptible subpopulations for treatment decisions. (Q51467325) (← links)
• Chemically induced hepatotoxicity in human stem cell-induced hepatocytes compared with primary hepatocytes and HepG2. (Q51708710) (← links)
• Hepatitis E Virus Induces Hepatocyte Apoptosis via Mitochondrial Pathway in Mongolian Gerbils. (Q54242435) (← links)
• Establishment of a novel safety assessment method for vaccine adjuvant development (Q57477472) (← links)
• Metabolic network-based predictions of toxicant-induced metabolite changes in the laboratory rat (Q58802417) (← links)