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Analysis of survival according to HLA-DR in the whole group of patients showed significant differences between the three patterns of tumour HLA-DR expression (P<0.001).
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These masks are designed to remove the common information between the two patterns and just discriminative pixels are flagged.
The main idea is to construct a weighted graph from the initial data set; each node represents a pattern while the weighted edges are simply the similarity degrees between the two patterns on the heads.
If μ increases, i.e., the inputs are faster, then the connectivity starts to encode a link between the two patterns that were flashed circularly and elicited responses that did not fade away when the other pattern appeared.
The distinction between the two patterns would disappear rapidly, however, if there is any recent or current gene flow between the groups, and if humans have selected for particular alleles.
It should be noted that GScore gives a quantification of similar features that are found between two 3D patterns (e.g. a GScore of 100%% represents identical patterns, whereas 0%% denotes that no similar features exist between the two patterns analyzed).
One specific probe representing the CAP-GLY domain containing linker protein family, member 4 (CLIP4) showed the greatest fold difference between the two patterns (6.5).
In all cases in which only the fourth position presented different signals, no significant discrimination between the two patterns is found (Fig. 4B last two columns).
Using a 2-fold average enrichment signal difference between the two patterns as a cut-off, we discovered a set of 493 array probes that are able to distinguish between PP3 and PP4 cancers.
In the case of a temporal gap between the two patterns, we therefore predict that these two correlation time courses should be shifted relative to each other with a delay that corresponds to the duration of the gap.
No food or beverage items overlapped between the two patterns.
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