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Figure 8 CLEAR [22]evaluation dataset sample.

To identify a potential distribution to consider when modeling a dataset, sample standardized moments can be calculated and plotted as points in either (I) and/or (II) – thus, probability distributions that are "close" to the point estimates can be considered as candidates for probability models.

Table 1 Reduction of number of genes for different sample size in dataset Sample size Rank of the extracted basis (steps 1 and 2) Nb of genes with Kendall rank correlation (<0.5) (step 3) Number of final selected genes (step 5) 60 60 33 3 55 55 31 4 50 50 28 22 45 45 13 7 40 40 11 9.

Table 5 Reduction of number of genes for different sample size in dataset Sample size Rank of the extracted basis (steps 1 and 2) Nb of genes with Kendall rank correlation (<0.5) (step 3) Final selected genes (step 5) 80 26 5 75 75 31 3 70 70 34 10 60 60 34 10 50 50 2434 10 50 50 24 8. Table 6 presents the genes occurrences with their cross validation percentages.

In each dataset, sample prediction was improved by separating the samples into three groups according to class similarities.

Genes were grouped into KEGG biological process pathways and Z tests were used to determine if the total number of significant single locus allele and genotype associations within genes of a pathway deviated statistically from expected number of significant results given the number of tests and the dataset sample size.

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Table 1 Datasets' characteristics Dataset # samples (Questionnaires) # samples in the training set # samples in the test set # parties modelled Cypriot 1,897 1,138 759 7 German 5,180 3,108 2,072 7 Greek 26,243 15,746 10,497 9.

It looks for the most possible distribution pattern of SFS under the constraints of given demographic parameter set that fits the real dataset sampled from the population.

Dataset samples were randomly chosen with replacement and assembled into bootstrap datasets.

Two separate MCMC chains were run for 108 generations for each dataset, sampled every 10,000th generation.

In this dataset, samples have information of 15,488 spots per array, with a total of 7,700 unique cDNAs represented.

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