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The first model was based on linear discriminant analysis (mt-QSAR-LDA) employing fragment-based descriptors while the second model was obtained using artificial neural networks (mt-QSAR-ANN) with global 2D descriptors.
We processed the sensor responses, excluding the first exposure-purge cycles, by the pattern recognition technique based on Linear Discriminant Analysis (LDA 50.
In addition, we compared it to an approach based on linear discriminant analysis.
This approach has been compared with a statistical method based on linear discriminant analysis.
To further boost the SCI performance, a novel approach based on linear discriminant analysis (LDA) is adopted to extract more discriminant SPN features.
A data set of 440 organic chemicals, 143 with antitrypanosomal activity and 297 having other clinical uses, is used to develop QSAR models based on linear discriminant analysis (LDA).
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There are a large number of class predictors based on linear discriminants of the form shown in (1).
A discriminant function based on linear combination of the expression of discriminant miRNAs was created for each classification step (PTCL/NOS vs AITL and PTCL/NOS vs ALCL/ALK−), to assign a discriminant score for each sample.
The model is composed of a discriminant function (or, for more than two groups, a set of discriminant functions) based on linear combinations of the predictor variables that provide the best discrimination between the groups.
DAPC then constructs synthetic variables, discriminant functions, based on linear combinations of alleles harboring the greatest between-group variation and smallest within-group variation [ 37].
Based on linear regression, a novel method called reconstructive discriminant analysis (RDA) is developed for feature extraction and dimensionality reduction (DR).
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