PMC:4996396 / 41681-42293 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4996396","sourcedb":"PMC","sourceid":"4996396","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4996396","text":"microarrays-04-00162-t005_Table 5 Table 5 Performance of classifier panels calculated with class prediction analysis. Different normalization strategies were used and different subsets of samples were analyzed. The analysis of all samples together means that all four histological types of lung cancer were merged to one cancer class. a greedy-pairs algorithm (GP), recursive feature elimination (RFE); b Nearest Neighbor classification (NN), support vector machine(SVM), Compound Covariate Predictor (CCP), Nearest Centroid (NC), Diagonal Linear Discriminant Analysis (DLDA); c correct classification rate.\nF","tracks":[]}