The observation that MS duration adds important information to predicting disease activity specifically at low RAPID3 scores is highly interesting, pointing to a possible distinguishing role for MS in classification of remission.
Based on data shown in Figure 5, we demonstrate that the sample size plays an important role for Type 1 classifications, whereas for Type 2 and Type 3 classifications the sample size plays a minor role.
Extracts with similar PA/W values were classified in the same group and major peaks (RA) play an important role than small peaks for classification and discrimination of extracts.
The association of specific miRNAs with ER, PR and HER2/ neu status indicates a role for these miRNAs in disease classification of breast cancer.
A supporting role for FISH in renal tumour classification of needle biopsies was demonstrated in this ex vivo study to enhance the overall diagnostic accuracy by 16% compared with histopathology alone.
Clustering should be generally favored over the more subjective approach, but the example of the F-1268 specimen, which mclust very obviously placed in the wrong cluster, indicates that there will continue to be a role for human inspection in the classification process.
Dental features are particularly well suited for this important role in classification because they reflect the broad radiation of mammalian feeding specializations from the primitive predaceous habit.
In conclusion, we found no prognostic role for Goseki or other traditional histological classification systems or for Siewert topographical classification; however, we did confirm the relevance of the TNM staging system as the most important predictor of survival in patients with adenocarcinoma of the cardia.
As shown in Figure 3, most nodes are always classified into a same class, which indicates that the role classification for the nodes in the HLMN based on the SA algorithm is reliable.
We did not find any prognostic role for either Goseki or other histological classification systems, patients' age, sex or Siewert topographical classification.
