Fig. 1: Illustration of the neural network architectures used for Markov modeling.
From: A deep learning approach to real-time Markov modeling of ion channel gating
In this study, we used modified versions of the Inception-Res-Net-V2 architecture33 for A topology discrimination and B rate estimation. C The original Reduction-B module was substituted with a module that increases the filter dimension without pooling. D Rate constant prediction was evaluated using the RAE error score (Eq. 3). In comparison to the mean absolute percentage error (MAPE), the RAE score is symmetrical with respect to the ground truth.
