Table 1 Model learned from the T1D data set. Model learned from the T1D data set using 1-e5 as the p-value threshold, the holdout approach, AdaBoostM1 as the learning algorithm with default configuration (decision stump as the weak learning algorithm and 10 iterations)
From: A comparison of genomic profiles of complex diseases under different models
Chr | Chr | SNP | Allele | Allele | Weight | Genotypes | Weight | Genotypes |
|---|---|---|---|---|---|---|---|---|
# | Pos | 1 | 2 | rule 1 | rule 1 | rule 2 | rule 2 | |
1 | 77051324 | SNP_A−1827111 | A | C | 0.0801 | {0, missing} | ||
6 | 32444658 | SNP_A−1934589 | A | G | 0.2326 | {0} | ||
6 | 30135583 | SNP_A−2111335 | A | G | 0.2171 | {0} | 0.0543 | {1} |
6 | 31395153 | SNP_A−2079423 | C | T | 0.1525 | {0,1} | ||
6 | 30390814 | SNP_A−2222387 | A | G | 0.0672 | {0,1} | ||
6 | 31112694 | SNP_A−4293786 | C | T | 0.0517 | {0,1} | ||
19 | 39266932 | SNP_A−4281637 | A | G | 0.0904 | {0,1} |