Ping Zhang

Behavior decoding delineates seizure microfeatures and associated sudden death risks in mice

AI-aided behavior decoding identifies seizure microfeatures and SUDEP risks in mice using machine learning tools.

Chemical-induced Gene Expression Ranking and its Application to Pancreatic Cancer Drug Repurposing

The paper introduces a deep learning framework, CIGER, for predicting gene expression rankings induced by chemicals and applies it to pancreatic cancer drug repurposing, showing improved performance over existing methods.

FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery

FAME generates novel molecules with desired biological activity by learning from gene expression data using a conditional variational autoencoder and fragment-based generation.

A deep learning framework for high-throughput mechanism-driven phenotype compound screening

This paper introduces DeepCE, a deep learning framework for chemical-induced gene expression prediction and compound screening, showing improved performance over existing methods and demonstrating its application to COVID-19 drug repurposing.