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Using a statistical variant caller for pooled sequencing data, CRISP[12], we were able to detect single nucleotide variants with high sensitivity and specificity.
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In statistical analysis, variant analysis, post-hoc tukey test, Pearson correlation test, t-test, and fisher's exact chi-square test were used.
The evaluation of the predictive power is important also when considering predictive models constructed on the basis on statistical significant variants.
For example, the combination of rare-variants and common-variants statistical tests applied to a sequenced region may preserve high power when either only rare or only common variants are associated with a phenotype.
Pickrell's technique builds a statistical model, linking variant annotations to the probability of trait association, that is used to reweight the variants.
Also, to remove the shadow pixels, we consider the automatic threshold "variant statistical value − skewness" of the saturation component.
We also used variant statistical parameter "skewness" of the wavelet coefficients to detect and remove the shadows.
For detection and removal of shadow, a new threshold in the form of a variant statistical parameter—"skewness"—is proposed.
The promising results of the proposed method highlight the advantages of both the SWT and the variant statistical threshold.
A new threshold based on the variant statistical feature, calculated with the help of the wavelet coefficients, is used to classify the moving objects and shadows.
Also, the variant statistical parameter skewness is calculated for the wavelet coefficients for the value and saturation component denoted as (Skew)WΔV and (Skew)WΔS respectively.
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