Hang Chang

A quantitative proteomics dataset for assessment and prediction of low dose X-ray radiation exposure in mice.

The paper presents two large-scale proteomics datasets from mice exposed to varying X-ray doses and time points, enabling biomarker discovery and machine learning applications for radiation exposure assessment.

A susceptibility gene signature for ERBB2-driven mammary tumor development and metastasis in Collaborative Cross mice with human translational value

The paper identifies a mouse tumor susceptibility gene signature (mTSGS) that predicts chemotherapy response in ERBB2-driven breast cancer, validated in both mouse models and human datasets.

Intermediate molecular phenotypes to identify genetic markers of anthracycline-induced cardiotoxicity risk

The paper identifies genetic markers for anthracycline-induced cardiotoxicity risk by analyzing intermediate molecular phenotypes in mice and human cohorts.

WBC-Profiler: an Unsupervised Feature Learning System for Leukocytes Characterization and Classification

WBC-Profiler automatically extracts complex signatures from microscopic images to construct leukocyte profiles without human intervention.