A Systematic Evaluation of Feature Selection and Classification Algorithms Using Simulated and Real miRNA Sequencing Data

Table 1

Parameter settings used for the simulation data.

Scenario	Parameter	Settings
A1–A5	Signal to noise (s2n)	0.01, 0.05, 0.1, 0.15, and 0.20
B1–B5	Mean of significant variables in the case	10, 15, 20, 25, and 30
C1–C5	Dispersion parameter of significant variables in the case	0.125, 0.5, 1, 2, and 8
	Sample size (+/−)	40 (20/20)
	Number of variables	500
	Mean of significant variables in the control	5
	Mean of insignificant variables	5
	Dispersion parameter of significant variables in the control	1
	Dispersion parameter of insignificant variables	1