dynamo.tl.diffusion

dynamo.tl.diffusion(M, P0=None, steps=None, backward=False)[source]

Find the state distribution of a Markov process.

Parameters:

M (ndarray) – the transition matrix with dimension of n x n, where n is the cell number.
P0 (Optional[ndarray]) – The initial cell state with dimension of n. Defaults to None.
steps (Optional[int]) – the random walk steps on the Markov transition matrix. Defaults to None.
backward (bool) – whether the backward transition will be considered. Defaults to False.

Return type:

ndarray

Returns:

The state distribution of the Markov process.