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In particular, they performed better than the gene-set median expression method, the BSS/WSS method, and Taylor's approach.
For example, the gene-set median expression method less accurately classified 8-9 samples but more accurately classified 5-7 samples.
The gene-set median expression method performed slightly better than Taylor's network method, which was comparable to the single-gene moderated t-statistic method for the SVM classifier, but was much less accurate for the RF and DLDA classifiers.
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In sum, the single-gene moderated t-statistic method and the NetRank network-based method captured a different subspace of the samples relative to the median expression gene-set method, Taylor's network method and the BSS/WSS network approach.
The median expression gene-set method performed similarly to the BSS/WSS network method whereas the median expression gene-set method was more accurate than the BSS/WSS network method for the melanoma data set.
We noticed that for the 10-14 PP samples which were very accurately classified by the single-gene moderated t-statistic method and the NetRank network-based method, the median expression gene-set and remaining network methods were much less accurate in classifying all but 3 of these samples.
Here, we choose a simple method, the median expression value.
A gene was therefore scored for its presence (or absence) depending on the median expression intensity in each condition (Methods).
In this section, we call a gene 'expressed' if its cDNA probes have a median expression probability greater than 95% (see methods).
Relative quantification of different miRNA types resulted from ΔCt method normalized on corresponding median expression values of housekeeping miRNAs miR-16 and miR-26b.
Comparison study - gene-set approach: The gene-set method analysed was the median expression approach in which gene-sets were quantified by the median expression of the genes contained within the set (inspired by the average expression measure described by [ 39] and work by [ 30]).
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