This repository serves as a showcase for the bioinformatics applications and pipelines I have developed. It demonstrates my skills in data analysis, visualization, and creating interactive tools for biological research.

A Shiny app for exploring relationships between drug sensitivity and gene expression/copy number across various cancer types. For more details, see the Senhwa Biosciences project README.

A comprehensive pipeline for analyzing single-cell RNA sequencing (scRNA-seq) data, implemented in both R and Python. For more details, see the scRNA-seq Analysis Pipeline README.

These projects showcase my ability to create user-friendly, interactive tools for complex biological data analysis, combining statistical methods with intuitive visualizations to aid in scientific research and drug discovery.