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Figure 2 summarizes the results of comparison between the different classification methods.
As anticipated from the known relationships between the different classification schemes and pathological tumour features, miRNAs associated with the basal-like intrinsic subtype tend to be also over-expressed in triple-negative and high-grade tumours.
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To evaluate the effectiveness of the different classification models in discerning between Kingdom origin, we determined and assessed the accuracy for a set of 6987 test bHLH domains (Table 2).
Furthermore, the different classifications of the assessment criteria have failed to enable direct comparisons between various studies [ 16].
One must question, what is the difference between these different classifications?
The main advantage of the system is that it considers statistical similarity in the spatial distributions between the two different classification systems.
The results were strikingly similar between the two different classification methods (RF and SVM).
For measuring the significance of the difference between different classification tasks, a list of p values for one particular pairwise classification was computed in each fold of the cross-validation procedures, by the Hanley and McNeil test [ 46] implemented in the R package MKmist [ 40].
There were no statistically significant differences in survival between the different Charnley classifications.
By comparing the association between the different subtype classifications and chemotherapy response, we see that grade is better than Ki67 or endocrine responsiveness in identifying groups of tumors with different chemotherapy response in this dataset.
Despite the variation in conservation values observed between the different functional classifications, we observe consistently higher conservation scores and lower KA/KS values (Table 4) in the set of dominant disease genes compared to the recessive disease genes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com