Deciphering anomalous heterogeneous intracellular transport with neural networks
D. S. Han, N. Korabel, R. Chen, M. Johnston, V. J. Allan, S. Fedotov, T. A. Waigh
This paper develops a deep learning model to analyze heterogeneous intracellular transport by estimating Hurst exponents from short time series data, enabling dynamic segmentation of cellular structures.
bioRxiv · Sep 25, 2019Cell Biology