Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns

BMC Bioinformatics

Table 1 Statistics on the numbers of images and genes for each of the six tasks with different thresholds for fold enrichment

Folds	Tasks	Number of genes	Number of images
1.5	A vs. Neg.	711 vs. 939	775 vs. 981
	N vs. Neg.	775 vs. 939	844 vs. 981
	O vs. Neg.	541 vs. 939	577 vs. 981
	O vs. A	501 vs. 671	532 vs. 730
	A vs. N	690 vs. 754	754 vs. 823
	N vs. O	753 vs. 519	819 vs. 552
10	A vs. Neg.	72 vs. 939	80 vs. 981
	N vs. Neg.	178 vs. 939	209 vs. 981
	O vs. Neg.	47 vs. 939	50 vs. 981
	O vs. A	47 vs. 72	50 vs. 80
	A vs. N	72 vs. 178	80 vs. 209
	N vs. O	178 vs. 47	209 vs. 50
20	A vs. Neg.	26 vs. 939	31 vs. 981
	N vs. Neg.	67 vs. 939	78 vs. 981
	O vs. Neg.	17 vs. 939	18 vs. 981
	O vs. A	17 vs. 26	18 vs. 31
	A vs. N	26 vs. 67	31 vs. 78
	N vs. O	67 vs. 17	78 vs. 18

ISSN: 1471-2105