Cell atlases are multi-organ single cell omics data sets describing entire organisms.
This project implements a web interface that enables biologists, doctors, and other researchers to browse and interact with cell atlases using natural language (initially, English).
NOTE: The web application is entirely client-side, i.e. it does not require any backend server to run.
This repo is a component of Light and scalable statistical approximations of cell atlases, which also include:
- A repo to approximate cell atlases statistically
- A repo to expose programmatic access to the approximations via an API
- A repo to process natural language prompts via a chat bot
The human interface is composed of two primary elements:
- A chat bot trained by machine learning to process requests and questions.
- An interactive chart via CanvaXpress to visualise gene expression and other features of cell atlases.
Proudly developed @ fabilab by Ying Xu.