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- W2397728080 abstract "In impedance spectroscopy of epithelial cell layers, it is a common task to extrapolate discrete two-dimensional plots in order to determine electrical properties associated with axis intercepts. Here, we investigate how implicit properties of such curves can be used to predict the x-axis intercept where explicitly determined properties fail to do so. We perform feature extraction, algorithmic feature ranking and dimension reduction on model impedance spectra derived from a tissue-equivalent electric circuit. Selected feature subsets are assessed by training artificial neural networks to predict the intercept. Results show that subsets of three or less implicit features provide a reasonable basis for predictions." @default.
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- W2397728080 date "2013-01-01" @default.
- W2397728080 modified "2023-09-24" @default.
- W2397728080 title "Efficient prediction of x-axis intercepts of discrete impedance spectra." @default.
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