Abstract

There are many diseases associated with the dysfunction of ion channels. Ion channels are a class of proteins embedded in cell membranes that serve principle physiological functions such as memorization, learning and pain signaling. In order to help scientists learn more about ion channels and how they cause diseases, a team in Liverpool University published a public dataset about Ion channels. This paper presents a Wavenet based model to predict the number of Ion channels open at each time point. Wavenet is a type of deep neural network designed for one-dimensional signals. We used the Kalman filter to denoise the original signals and compared WaveNet with classical machine learning methods like SVM and Naïve Bayes to show the superior performance of the WaveNet model.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.