Table 1:

Statistics

Subscript	Data structure	Type of test	Power
a	Hypergeometric	Fisher's exact	95% CI = 1.4–491.2
b	Hypergeometric	Fisher's exact	95% CI = 23.8–58.0
c	Hypergeometric	Fisher's exact	95% CI = 3.2–1229.8
d	Approximately normal	Welch t test	95% CI = −3.3 to −1.6, alternative hypothesis: true difference in means is not equal to 0
e	Non-normal	Empirical p value	NA
f	Non-normal	Spearman rank correlation	NA
g	Approximately normal	Welch t test	NA; no specific p values reported, rather a group of genes under a specified p value threshold
h	Approximately normal	Welch t test	95% CI = −3.0 to −0.1, alternative hypothesis: true difference in means is not equal to 0
i	Approximately normal	Welch t test	95% CI = −1.3 to −0.1, alternative hypothesis: true difference in means is not equal to 0
j	Approximately normal	Welch t test	95% CI = 0.3–1.6, alternative hypothesis: true difference in means is not equal to 0
k	Approximately normal	Welch t test	NA; no specific p values reported, rather a group of genes above a specified p value threshold (e.g., not significant)
l	Approximately normal	Welch t test, one-sided (due to specific prior hypothesis as to direction of effect; results still significant using a two-sided test at a threshold of α = 0.05)	95% CI = 0.1 to ∞], alternative hypothesis: true difference in means is not equal to 0
m	Non-normal	χ² test of ODS counts	NA