Exact(4)
Each sample belongs to a certain class, i.e., cancer or non-cancer.
For each selected gene pair, we compute the probability that each sample belongs to the correlated group.
An expectation-maximization (EM) [ 27] algorithm iteratively fits the center and variance of each group and calculates the probability that each sample belongs to each genotype group.
For a given gene set, a relatively high AUC score (maximum of 1.0) indicates that the algorithm accurately predicted the group to which each sample belongs.
Similar(56)
The examiners were unaware of the experimental group to which each sample belonged.
Coverage and depth were estimated as average of scores in each sample belonging to the same population.
The probability (breve {pi }_{k+1}^{s(n)}) (weight) that each source sample belongs to the target distribution p(X k+1| Z0 k+1) is computed using a non-parametric method based on the KNN algorithm (utilizing the FLANN1 library and an L2 distance on features).
When the PCR products digested with Taq I and Xba I, the expected fragment sizes were 1090 and 151 bp for haplotype A, and were 704 and 537 bp for haplotype B. The PCR product-digestion patterns allow us to readily distinguish which haplotype group each product (sample) belongs to.
Table 5 shows the cluster group, sample numbers with respect to cluster group and percentage of sample belongs to each cluster group.
Our Mexican children sample belongs to the normative group three.
The sample belongs to the class with maximum posterior probability for the sample.
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