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To further analyze this pattern, ROI based analyses were performed.
Modules within the created networks were mined for biological relevance using BINGO [ 21] and further text mining based analyses were performed using LitVan [ 22].
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Generalized regression neural network and multiple regression-based analyses were performed to benchmark the GP/SA model.
For SCA risk, single SNP genotype-based analyses were performed.
All computer-based analyses were performed with a commercial, user-friendly software.
Haplotype and set-based analyses were performed using PLINK with default settings [21].
Qualitative population-based analyses were performed with PLINK (1.01) [52] which supports the genotype and allele count tests.
To overcome this selection bias in the present study, design-based analyses were performed using sampling probability weights.
To explore to which extent population groups were separated from each other, population and individual-based analyses were performed.
Voxel-based analyses were performed using SPM8.
The family-based analyses were performed with QTDT (26).
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