Visualizing scientific data is always a challenge because of the many variables and dimensions involved, but making it available in an easy-to-explore way should be a priority for scientists. One especially difficult dataset to represent graphically is gene expression data due to the huge quantity of information available for each cell. In this project, I developed a gene expression web application that visualizes single cell RNA-seq data using pre-calculated t-SNE coordinates for each cell. This tool allows experts to navigate through the overwhelming Gen Expression Omnibus dataset and focus on the most relevant genes and their properties.
Visualizing Bob Ross's paintings
Studying fatty liver desease in Chilean populations