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Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data
View ORCID ProfileNuman Celik, Fiona O’Brien, View ORCID ProfileSean Brennan, View ORCID ProfileRichard D. Rainbow, View ORCID ProfileCaroline Dart, View ORCID ProfileYalin Zheng, View ORCID ProfileFrans Coenen, View ORCID ProfileRichard Barrett-Jolley
doi: https://doi.org/10.1101/767418
Numan Celik
1Faculty of Health and Life Science, University of Liverpool, Liverpool, United Kingdom
Fiona O’Brien
1Faculty of Health and Life Science, University of Liverpool, Liverpool, United Kingdom
Sean Brennan
1Faculty of Health and Life Science, University of Liverpool, Liverpool, United Kingdom
Richard D. Rainbow
1Faculty of Health and Life Science, University of Liverpool, Liverpool, United Kingdom
Caroline Dart
1Faculty of Health and Life Science, University of Liverpool, Liverpool, United Kingdom
Yalin Zheng
1Faculty of Health and Life Science, University of Liverpool, Liverpool, United Kingdom
Frans Coenen
2Department of Computer Science, University of Liverpool, Liverpool, United Kingdom
Richard Barrett-Jolley
1Faculty of Health and Life Science, University of Liverpool, Liverpool, United Kingdom
Posted November 22, 2019.
Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data
Numan Celik, Fiona O’Brien, Sean Brennan, Richard D. Rainbow, Caroline Dart, Yalin Zheng, Frans Coenen, Richard Barrett-Jolley
bioRxiv 767418; doi: https://doi.org/10.1101/767418
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