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Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors

Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors

Prasanna Sattigeri, Jayaraman Thiagarajan, Karthikeyan Ramamurthy, Andreas Spanias, Mahesh Banavar, Abhinav Dixit, Jie Fan, Mohit Malu, Kristen Jaskie, Sunil Rao, Uday Shanthamallu, Vivek Narayanaswamy, Sameeksha Katoch
Copyright: © 2022 |Volume: 12 |Issue: 1 |Pages: 17
ISSN: 1947-8518|EISSN: 1947-8526|EISBN13: 9781683181279|DOI: 10.4018/IJVPLE.285601
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MLA

Sattigeri, Prasanna, et al. "Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors." IJVPLE vol.12, no.1 2022: pp.1-17. http://doi.org/10.4018/IJVPLE.285601

APA

Sattigeri, P., Thiagarajan, J., Ramamurthy, K., Spanias, A., Banavar, M., Dixit, A., Fan, J., Malu, M., Jaskie, K., Rao, S., Shanthamallu, U., Narayanaswamy, V., & Katoch, S. (2022). Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors. International Journal of Virtual and Personal Learning Environments (IJVPLE), 12(1), 1-17. http://doi.org/10.4018/IJVPLE.285601

Chicago

Sattigeri, Prasanna, et al. "Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors," International Journal of Virtual and Personal Learning Environments (IJVPLE) 12, no.1: 1-17. http://doi.org/10.4018/IJVPLE.285601

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Abstract

Ion Channel sensors have several applications including DNA sequencing, biothreat detection, and medical applications. Ion-channel sensors mimic the selective transport mechanism of cell membranes and can detect a wide range of analytes at the molecule level. Analytes are sensed through changes in signal patterns. Papers in the literature have described different methods for ion channel signal analysis. In this paper, we describe a series of new graphical tools for ion channel signal analysis which can be used for research and education. The paper focuses on the utility of this tools in biosensor classes. Teaching signal processing and machine learning for ion channel sensors is challenging because of the multidisciplinary content and student backgrounds which include physics, chemistry, biology and engineering. The paper describes graphical ion channel analysis tools developed for an on-line simulation environment called J-DSP. The tools are integrated and assessed in a graduate bio-sensor course through computer laboratory exercises.

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