Table 1.

Matched-pairs feature selection survey. This table lists the matched-pairs feature selection methods in this article with its method name (second column), software (third column) and literature (fourth column) through three groups: test statistic, CLR, and boosting strategy.

	Method	Softwarea	Literature
Test statistic	Paired t-test	R package “PairedData”	Hsu et al. [66]
	Modified paired t-test	–	Tan et al. [58]
	Fold-change paired t-test	–	Cao et al. [62]
Conditional logistic regression	RP-CLR	R package “RPCLR”	Balasubramanian et al. [64]
	PCU-CLR	R package “penalized”	Qian et al. [15]
	BVS-CLR	R package “coda”	Asafu-Adjei et al. [65]
Boosting strategy	WL2Boost	Source code in paper	Adewale et al. [18]
	1-step PQLBoost	–	Adewale et al. [18]

^aUsing “–” if no specific software found for the method.