Unsupervised idealization of ion channel recordings by Minimum Description Length: Application to human PIEZO1-channels
Radhakrishnan Gnanasambandam, Morten Schak Nielsen, Christopher Nicolai, Frederick Sachs, Johannes Pauli Hofgaard, Jakob Kisbye Dreyer
This paper introduces an unsupervised algorithm based on the Minimum Description Length principle to idealize ion channel recordings, demonstrating its effectiveness in recovering channel currents and substates from noisy data.
Frontiers in Neuroinformatics · Apr 27, 2017Peer-reviewedBioinformatics