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In the comparison of numerical results using the datasets described above, some software settings were adjusted.
The periocular recognition performance was studied using the datasets described in Section 3.1.
Using the datasets described above, true positive and false positive rates were calculated for different cutoffs and then plotted.
To identify the ancestral alternative exons from species-specific alternative and constitutive exons, an SVM classifier with a Gaussian kernel was trained using the datasets described above.
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Analysis using the dataset described by Saintigny et al. [ 29] (GSE26549) showed no significant differences in RAB25-mRNA levels of precursor HNSCC lesions with different histological grades (hyperplasia vs. dysplasia) (Fig. S2).
It was chosen to use the datasets describing the women's socio-demographic characteristics the year prior to the screening date.
This is in true for the standard Hi-C protocol, which from what I can see, was used to generate the datasets described in the result section.
Using the three datasets described above, the parameter estimates for the model (i.e., transition probabilities) were calculated.
In this section, we compare, using the two datasets described in Section 3.1, the proposed cost aggregation method with two benchmark methods: Min et al.'s method [14], and the census transform [39, 40].
Here we use the two datasets described above to assess the accuracy of the various association scores, viz: mutual information, odds ratio, hypergeometric score, weighted support and TGH.
In our analysis, we used the transcriptome datasets described in four previous reports [ 5, 10- 12].
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