Diverse approaches to predicting drug-induced liver injury using gene-expression profiles

The chemical, genetic and immunological basis of idiosyncratic drug–induced liver injury

(2015) A Tailor et al.   HUMAN & EXPERIMENTAL TOXICOLOGY

Drug-Induced Liver Injury and Drug Development: Industry Perspective

(2014) Arie Regev   SEMINARS IN LIVER DISEASE

A single-sample microarray normalization method to facilitate personalized-medicine workflows

(2012) Stephen R. Piccolo et al.   GENOMICS

Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses

(2012) Oliver Stegle et al.   Nature Protocols

Dual coordinate descent methods for logistic regression and maximum entropy models

(2010) Hsiang-Fu Yu et al.   MACHINE LEARNING

The future of drug safety testing: expanding the view and narrowing the focus

(2009) James L. Stevens et al.   DRUG DISCOVERY TODAY

A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

(2008) Alexander Statnikov et al.   BMC BIOINFORMATICS