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As an application, pancreatic cancer classifier was established.
A novel method is proposed to establish the pancreatic cancer classifier.
In the pancreatic cancer classifier based on ACO-SVM, C is oversize and γ is undersize.
The final lung cancer classifier was then determined using the finalized classifier discovery procedure on the entire training set.
These three genomic measures were used as new covariates to help in selecting genes with lung-cancer associated gene expression and in the lung cancer classifier (described below).
We demonstrate subgroup-specific gene centering the PAM50 breast cancer classifier, but emphasize that the subgroup-specific gene-centering approach is applicable to any classification based on gene-centered signatures.
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Previously, we have shown that microRNAs can act as cancer classifiers [35], [36] and that microRNAs that are differentially regulated are important in regulating the levels of both oncogenes and tumor suppressors in this disease [37], [38].
They then used the rules arising from these patterns to construct cancer classifiers.
Applying the decision rules induced by the selected genes or gene pairs, we constructed cancer classifiers.
The cancer classifiers developed here need to be further validated using random samples from biopsying or surgery.
Many investigators have utilized the rule-based approaches (i.e., "white-box" models) to produce cancer classifiers [ 6- 13].
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