xchrom.tr.XChrom_model
- xchrom.tr.XChrom_model(n_cells: int, cell_vec: int = 32, seq_len: int = 1344, show_summary: bool = True, noise_factor: float = 0.01)[source]
XChrom model construction
- Parameters:
n_cells (int) – number of cells
cell_vec (int) – dimension of cell embeddings, default is 32 with rna.obsm[‘X_pca’], it is consistent with the final dimension of the peak embeddings. if you want to use other cell embeddings, you can set it to the dimension of the cell/peak embeddings.
seq_len (int) – length of the sequence, default is 1344
show_summary (bool) – whether to show the summary of the model, default is True
noise_factor (float) – noise factor for the cell embeddings, default is 0.01