A Graph Attention Network Approach to Genomic Sequence Deconvolution

Paper here: https://drive.google.com/file/d/1TFgZddmBqT-IOOTvc6UWDGwigY6Tf3AU/view?usp=sharing

Code is in an experimental state (especially the bioinformatic processing steps which were largely borrowed/pulled together from existing bioinformatics tools) and needs refactoring. I haven't had time to look back on this project in a while. In the meantime if you're still curious, you can check out my collab notebooks:

• Simulated mixture data generation: https://colab.research.google.com/drive/1flyYMQ6Q3k16Dt0wWqJu13xvwbXpAX9a?usp=sharing
• Building graphs: https://colab.research.google.com/drive/1h1_24hmBmRxB1SD-ha13VemREJFZ_amP?usp=sharing
• Experiment: https://colab.research.google.com/drive/1v4Y0qaz-ZnT4fjVYohnJAn0Fz4bj439Q?usp=sharing