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GO term depth and IC are measures of function specificity for a single GO term.
There are idiosyncrasies in the GO however which make GO term depth problematic.
Whereas IC has less variability and a stronger relationship with BLAST bit score than GO term depth (adjusted R2 of 0.47 versus 0.34 respectively), normalizing IC by generating the RIC metric reduces the influence on the model of the variability of IC values in the training data (which improves prediction accuracy).
Three measures of this were considered: 1) GO term depth of the common ancestral GO term for the GO terms assigned to the two proteins in a BLAST alignment, 2) the IC of the common ancestral GO term, and 3) the Relative Information Content RICC).
In the preprocessed dataset a minimum GO term depth of 5 was maintained.
In this algorithm, an additional parameter d, which is a GO term depth threshold, is given.
Similar(48)
The distribution of term depths over all targets is shown in Supplementary Figure 1 for both ontologies.
GameSpy commented on the Home City as well, saying, "the 'home city' system creates long-term depth and strategy".
For this property information file, the default weights are terms' depths in the GO hierarchy; this treats more specific terms as more important properties.
In the case of the GO property information file bundled with the software, the default weights are terms' depths in the GO hierarchy.
The term "erosion depth" is used herein to indicate the thickness of the material taken away by erosion.
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CEO of Professional Science Editing for Scientists @ prosciediting.com