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Orca-Fly: Deep learning models trained on Pico-C data in Drosophila embryogenesis.

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Orca-Fly

The repository contains code for Orca-Fly, an adaptiation of Orca frameworks for multi-scale genome structure prediction in early Drosophila embryogenesis.

Install and run Orca-Fly locally

Please follow the instructions at [Orca][https://github.com/jzhoulab/orca/] to set up the Python environment.

Predict with pretrained models

Please download the dataset and pretrained model weight by the link [TBD]. You can use predict.ipynb to get predictions of interested regions.

Train Orca-Fly models

If you have set up Orca with its dependencies and has the necessary GPU resources, you can train new models following the example code under the train directory to train new Orca-Fly models.

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Orca-Fly: Deep learning models trained on Pico-C data in Drosophila embryogenesis.

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