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The MED, MLH, MHD, and SAM classification results were generated in the ENVI image processing software.
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Table 2 Classifications performed in this study and the number of spectral bands used for each run # bands Classification runs 13 ANN MED SAM MLH MHD 30 ANN MED SAM MLH MHD 194 ANN MED SAM - -.
Functional classification of the SAM-generated lists of genes being preferentially expressed in a certain CNS region (cortex, hippocampus, striatum and cerebellum) and the 'CNS-signature genes' was performed by the Panther Classification System 1.2 [ 11, 37].
The resultant SAM patterns were subjected to pattern classification.
We also observed that the accuracy of the gene expression profile classification using Bayesian Network algorithm on SAM's gene sets declined when the number of genes is reduced to 50 or smaller.
Figure 4 shows the accuracy of the gene expression profile classification using Bayesian Net algorithm on SAM's gene sets and on LorenzGini's gene sets with 50 genes.
This SAM differs from the existing 78-sector SAM in terms of its sectoral classification and especially the level of disaggregation of value-added and households account.
Traditional pixel-based classification methods, such as Maximum Likelihood Classifier (MLC), Spectral Angle Mapper (SAM), Minimum Distance Classifier (MDC), analyze data without incorporating spatial information.
According to SAM valence, two participants out of 22 lacked health assessment and for that reason classification process was not applied on them.
Supervised classification was performed on the 71 samples with follow-up data using SAM-software [ 22] developed by Tusher et al. We used the settings in the software for censored survival data.
Results were also verified by using (SAM) analysis tool in ROCK to determine significant changes of expression in subtypes, tumor type, and grade classification.
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