In time series data from differentiating cells, we build a pseudo time approximation and use a hidden Markov model to infer gene activity switching pseudo times, which we use to infer a regulatory network.
To analyze time series data from differentiating cells, we construct a pseudo-time estimate and utilize a hidden Markov model to determine the timing of gene activation/deactivation events, which subsequently allows us to deduce a regulatory network structure.