Network model to predict gene expression and cell properties from masked-out scRNA data
Network model based off of "A single-cell gene expression language model" https://arxiv.org/abs/2210.14330
which in turn is based on the Perceiver IO architecture https://arxiv.org/abs/2107.14795
Run create_dataset.py - must modify source_path and target_path in file Source data must be taken from /sc/arion/projects/psychAD/NPS-AD/.../*.h5ad Creates a numpy memmap data structure for the epxression data, and a pkl file for the cell properties and other metadata
Run train.py Network and training configs are found in config.py