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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
doi: https://doi.org/10.1101/106187
Radhakrishnan Gnanasambandam
1Department of Physiology and Biophysics, State University of New York, Buffalo, NY, USA
Morten Schak Nielsen
2Department of Biomedical Sciences and The Danish National Research Foundation Centre for Cardiac Arrhythmia, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Christopher Nicolai
1Department of Physiology and Biophysics, State University of New York, Buffalo, NY, USA
Frederick Sachs
1Department of Physiology and Biophysics, State University of New York, Buffalo, NY, USA
Johannes Pauli Hofgaard
2Department of Biomedical Sciences and The Danish National Research Foundation Centre for Cardiac Arrhythmia, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Jakob Kisbye Dreyer
3Department of neuroscience and pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Posted February 06, 2017.
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
bioRxiv 106187; doi: https://doi.org/10.1101/106187
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
bioRxiv 106187; doi: https://doi.org/10.1101/106187
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