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All functions

beta_method_of_moments()
Estimate the parameters of a beta distribution using the method of moments.
determine_if_region_da()
Determine whether each cell is in a region of differential abundance.
download_model()
Download the neural network model used by Dawnn.
generate_neighbor_labels()
Generate a matrix of the labels of the 1,000 nearest neighbors of each cell.
generate_null_dist()
Generate a null distribution of P(Condition_1) estimates.
generate_p_vals()
Generate p-values for observed Dawnn model outputs.
load_model_from_python()
Load the neural network model from its .hdf5 file.
param_check()
Sanity check input parameters
run_dawnn()
Identify which cells are in regions of differential abundance using Dawnn.