Ren Qi

This paper introduces scDEAL, a deep transfer learning framework that predicts cancer drug responses from single-cell RNA-seq data by integrating bulk RNA-seq drug response data and interpretable gene signatures.

scGNN introduces a graph neural network framework for scRNA-Seq analyses, improving gene imputation and cell clustering on benchmark datasets and revealing disease-related neural development in Alzheimer's disease.

scREAD is a database that integrates and provides analysis of scRNA-Seq and snRNA-Seq datasets from Alzheimer's disease human and mouse models.