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In the cases where in situ and invasive carcinomas were present in the same core (n=71), the samples were classified using the nomenclature increase/decrease/equal EVL expression according to the change in IxE score.
With the hope of applying laser-induced breakdown spectroscopy (LIBS) to the geological logging field, a series of cutting samples were classified using LIBS coupled with chemometric methods.
Groundwater samples were classified using cluster HCA.
These samples were classified using ASTM standards and will be used in laboratory testing throughout the semester.
The samples were classified using reported gene expression phenotype centroids as described [ 26].
After microscopic evaluation, OL samples were classified using the binary system [ 27].
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The expression of leptin and ObR in cancer samples was classified using a four-point scale: 0, < 10% stained cells; 1+, 10 50% cells with weak staining; 2+, >50% cells with weak staining; 3+, > 50% cells with strong staining.
The expression of leptin and ObR in cancer samples was classified using a four-point scale: 0, <10% positive cells; 1+, 10-50% positive cells with weak staining; 2+, >50% positive cells with weak staining; 3+, >50% positive cells with strong staining.
Finally, the test sample is classified using the trained model.
The selected sample regarded is as an unknown one, and then the sample is classified using the model built with the rest training samples.
Finally, the test sample is classified using the trained model, and the feature extraction method included the power spectrum, time-domain statistics, AR model, and the wavelet coefficients.
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