Gregory M. Chen

GLUER: integrative analysis of single-cell omics and imaging data by deep neural network

GLUER improves integration of single-cell multi-omics and imaging data, enhancing accuracy in matching cells across modalities and improving downstream analyses.

MetaGxData: Clinically Annotated Breast, Ovarian and Pancreatic Cancer Datasets and their Use in Generating a Multi-Cancer Gene Signature

MetaGxData provides standardized cancer transcriptomic and clinical data for cross-tumour analyses, identifying common prognostic genes and creating a multi-cancer gene signature.

BPG: Seamless, Automated and Interactive Visualization of Scientific Data

BPG is an R package that generates publication-quality, customizable plots and offers an interactive web tool for figure customization and integration with computational pipelines.