3.1 D-GNNs: developing DevoGraph for computational developmental biology - Himanshu
- Mentors
- Jesse Parent, Bradly Alicea, Jiahang Li, Mayukh Deb
- Organization
- INCF
- Technologies
- python, pytorch
- Topics
- graph neural networks, Segmentation, Deep learning, Computationa Biology
This project is about using Graph Neural Networks(GNNs) as a method to discover underlying connectivity to characterize a growing network that undergoes shape as well as size transformations for C. elegans. There are three parts to this project, all of which aim to integrate previous work on embryo networks, developmental connectomes and embryo differentiation.
Refining a means to segment raw data and incorporate it into the DevoGraph pipeline.
Refining the method for deriving graph embeddings.
Better integration of DevoGraph as a network structure discovery module of DevoLearn