Fei Zou

DEPICT predicts drug-induced transcriptional responses from gene expression and drug data, outperforming existing methods and enabling drug screening and synergy discovery.

The paper curates a collection of transcriptome datasets from viral respiratory inoculation and vaccination studies to enable reanalysis of transcriptional responses in blood and nasal samples.

The paper constructs a temporal atlas of human blood leukocyte changes after respiratory virus infection, showing shared immune responses and virus-specific kinetics.

This study evaluates batch correction methods for integrating microarray and RNA-seq data, finding that limma provides the best balance of Type I error control and power for differential expression analysis.