Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data

El-Mageed, Amr A. Abd; Elkhouli, Ahmed E.; Abohany, Amr A.; Gafar, Mona

doi:10.1186/s40537-024-00902-z

Journal of Big Data

Table 37 Fitness values of the proposed RBNRO-DE with k-NN and different filter and embedded methods

From: Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data

Benchmark	RBNRO-DE	Variance Threshold	Correlation	Chi-square	ANOVA	Linear-Regression	Ridge Regularization	Lasso Regularization	Elastic Net
BLCA	0.0025	0.0100	0.0100	0.0215	0.0330	0.0100	0.0100	0.0100	0.0100
CESC	0.0025	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100
CHOL	0.0025	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100
COAD	0.0025	0.0100	0.0100	0.0250	0.0100	0.0100	0.0100	0.0100	0.0400
ESCA	0.0113	0.0354	0.0354	0.0354	0.0354	0.0354	0.0354	0.0354	0.0354
GBM	0.0025	0.0100	0.0100	0.0409	0.0409	0.0100	0.0100	0.0100	0.0100
HNSC	0.0025	0.0100	0.0100	0.0363	0.0188	0.0100	0.0100	0.0100	0.0100
KICH	0.0025	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100
KIRC	0.0025	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100
KIRP	0.0025	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100
LIHC	0.0026	0.0333	0.0333	0.0333	0.0333	0.0333	0.0333	0.0333	0.0216
LUAD	0.0103	0.0186	0.0186	0.0530	0.0444	0.0186	0.0186	0.0186	0.0444
LUSC	0.0025	0.0100	0.0100	0.0189	0.0100	0.0100	0.0100	0.0100	0.0189
PAAD	0.0025	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100
PCPG	0.0025	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100
READ	0.0025	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100
SARC	0.0067	0.0287	0.0287	0.0287	0.0287	0.0287	0.0287	0.0287	0.0287
SKCM	0.0025	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100
STAD	0.0029	0.0210	0.0210	0.0320	0.0210	0.0210	0.0210	0.0210	0.0210
THCA	0.0025	0.0100	0.0100	0.0277	0.0100	0.0100	0.0100	0.0100	0.0188
THYM	0.0025	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100	0.0100
UCEC	0.0025	0.0100	0.0100	0.0595	0.0595	0.0100	0.0100	0.0100	0.0595
Ranking (\(\text {W\|T\|L}\))	\(\mathbf {22\|0\|0}\)	0\|0\|22	0\|0\|22	0\|0\|22	0\|0\|22	0\|0\|22	0\|0\|22	0\|0\|22	0\|0\|22

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