Transfer learning for genotype–phenotype prediction using deep learning models

BMC Bioinformatics

Table 1 13 sub-datasets for each phenotype containing different number of SNPs

SNPs in sub-dataset	1	2	3	4	5	6	7	8	9	10	11	12	13
YRI_5_1	3	6	14	32	51	105	154	236	287	435	822	1112	1803
YRI_5_2	1	4	7	26	28	60	65	192	233	314	662	935	1868
YRI_5_3	0	1	10	21	38	67	116	202	239	436	728	995	1616
YRI_5_4	4	5	24	83	127	153	193	255	295	487	732	1048	1729
YRI_10_1	2	7	18	47	91	137	180	345	422	551	1086	1899
YRI_10_2	7	11	12	67	136	171	248	279	494	563	656	1158	2032
YRI_10_3	3	5	13	43	65	103	130	146	341	431	590	1110	1974
YRI_10_4	1	3	20	36	75	109	179	264	312	561	913	1282	2130

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

ISSN: 1471-2105