Transfer learning for genotype–phenotype prediction using deep learning models

BMC Bioinformatics

Table 2 10 sub-datasets for each phenotype containing different number of SNPs

SNPs in sub-dataset	1	2	3	4	5	6	7	8	9	10
CEU_5_1	17	18	48	154	193	1135	1196	3421	4901	6629
CEU_5_2	0	4	18	74	89	949	987	3551	4867	6583
CEU_5_3	0	4	10	73	80	921	1016	3411	4780	6641
CEU_5_4	0	1	28	101	126	932	969	3438	4718	6751
CEU_10_1	2	20	96	101	809	894	3485	4816	6601
CEU_10_2	1	4	22	150	162	1005	1076	3545	4999	6673
CEU_10_3	1	5	134	243	296	1119	1162	3732	5015	6731
CEU_10_4	0	1	44	151	164	924	980	3522	4962	6699

0 means sub-dataset does not contain any phenotype and such sub-datasets are ignored

ISSN: 1471-2105