deepof.post_hoc.compute_steady_state

deepof.post_hoc.compute_steady_state(transition_matrices: dict, return_entropy: bool = False, n_iters: int = 100000)

Compute the steady state of each transition matrix provided in a dictionary.

Parameters:

• transition_matrices (dict) – A dictionary of transition matrices, where the keys are the names of the experimental conditions, and the values are the transition matrices for each condition.

• return_entropy (bool) – Whether to return the entropy of the steady state. If False, the steady states themselves are returned.

• n_iters (int) – The number of iterations to use for the Markov chain.

Returns:

A dictionary of steady states, where the keys are the names of the experimental conditions, and the values are the steady states for each condition. If return_entropy is True, values correspond to the entropy of each steady state.