Predictability of drug-induced liver injury by machine learning

Multi-omics integration for neuroblastoma clinical endpoint prediction

(2018) Margherita Francescatto et al.   Biology Direct

In-silico approach for drug induced liver injury prediction: Recent advances

(2018) Neha Saini et al.   TOXICOLOGY LETTERS

Drug-induced liver injury: a safety review

(2018) Miren García-Cortés et al.   Expert Opinion On Drug Safety

In Silico Prediction of Drug-Induced Liver Injury Based on Adverse Drug Reaction Reports

(2017) Xiang-Wei Zhu et al.   TOXICOLOGICAL SCIENCES

A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury

(2017) Pekka Kohonen et al.   Nature Communications

A computational toxicogenomics approach identifies a list of highly hepatotoxic compounds from a large microarray database

(2017) Héctor A. Rueda-Zárate et al.   PLoS One

Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs

(2017) Huixiao Hong et al.   Scientific Reports

Drug-induced adverse events prediction with the LINCS L1000 data

(2016) Zichen Wang et al.   BIOINFORMATICS

Adverse drug reactions and organ damage: The liver

(2016) Anna Licata   European Journal of Internal Medicine

Key Challenges and Opportunities Associated with the Use of In Vitro Models to Detect Human DILI: Integrated Risk Assessment and Mitigation Plans

(2016) Franck A. Atienzar et al.   Biomed Research International

Deep Learning for Drug-Induced Liver Injury

(2015) Youjun Xu et al.   Journal of Chemical Information and Modeling

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

(2014)   NATURE BIOTECHNOLOGY

Quantitative Structure-Activity Relationship Models for Predicting Drug-Induced Liver Injury Based on FDA-Approved Drug Labeling Annotation and Using a Large Collection of Drugs

(2013) Minjun Chen et al.   TOXICOLOGICAL SCIENCES

Pharmacogenomics of adverse drug reactions

(2013) Ann K Daly   Genome Medicine

The sva package for removing batch effects and other unwanted variation in high-throughput experiments

(2012) Jeffrey T. Leek et al.   BIOINFORMATICS

Thawing Frozen Robust Multi-array Analysis (fRMA)

(2011) Matthew N McCall et al.   BMC BIOINFORMATICS

A Predictive Ligand-Based Bayesian Model for Human Drug-Induced Liver Injury

(2010) S. Ekins et al.   DRUG METABOLISM AND DISPOSITION

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

(2010)   NATURE BIOTECHNOLOGY

Adverse Event Detection in Drug Development: Recommendations and Obligations Beyond Phase 3

(2008) Jesse A. Berlin et al.   AMERICAN JOURNAL OF PUBLIC HEALTH