Classification of Ion-channel Signals Using Neural Networks
نویسنده
چکیده
Ion-channel sensors can be used for detection of biochemical reagents. A silicon-based ion-channel platform has been developed for stochastic sensing for molecules. In this paper, we present techniques to extract appropriate features from sensor data using a combination Walsh-Hadamard Transform and Principal Component Analysis and use neural network techniques to discriminate between the analytes.
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