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Overlapping predicted loci conserved in multiple replicons were parsed into a single locus; the reported E value and score for each locus corresponds to the lowest E value and highest score of these overlapping candidates.
Thereby, we were able to obtain reproducible and overlapping candidates.
However, there were no overlapping candidates from the predictions and the DDR genes.
Therefore, the order in which we visit such overlapping candidates is important to ensure that we always move from smaller subproblems to larger ones.
However, in many cases the folds of overlapping candidates are not very similar so that they could not be combined into one candidate.
These genes were compared with DE genes in the wild-type and the mutant, and the overlapping candidates were evaluated, based on their expression profile and the level of fold change.
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Finally, overlapping candidate repeats were joined to form complete (species-specific) repeats.
In addition, we provide an overview of possible overlapping candidate genes and genome-wide association findings for both disorders.
To form positive and negative examples for training, we identified bright analyzable struts from "ground truth" data and called spatially overlapping candidate struts positive examples.
Our approach employs integration of three different AD datasets- GWL,GWA and GWE to identify overlapping candidate genes ranked using a novel cumulative rank score (SR) based method followed by prioritization using clusters derived from PPI network.
The overlapping candidate genes in the three original sets range from 0.12% to 1.4%; however, the overlapped interactors range from 15%to46%6%, which indicate the importance of mediator genes (Additional file 3) in the candidate genetic network of schizophrenia rather than query genes as key roles of disease susceptibility.
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