Fig. 2: Flow chart of the proposed algorithm.
From: A deep learning approach to real-time Markov modeling of ion channel gating
The orange path shows the flow of the experimentally recorded data. It is sequentially fed to the topology estimation NN and to the NN for the estimation of the transition rates. The blue paths indicate training of the topology estimation NN and rates estimation NN with simulated training datasets I and II. Dataset I contains 2D-histograms simulated with a collection of models encompassing different topologies. Dataset II consists of a collection of simulated datasets were each set encompasses only one specific topology with a range of rates kij. The green path shows the two stages of estimating the kinetic model. First, the topology is determined, and then the rates are estimated using the respective NN.
