Table 5 Experimental results for the proposed MOGKAN approach with single-omics and multi-omics data.

From: Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data

Data types

Multi-Omics data type

Accuracy

Precision

Recall

F1 Score

Single Omics Data

mRNA or RNA-Seq

0.9562 ± 0.0029

0.9524 ± 0.0074

0.9357 ± 0.0094

0.9414 ± 0.0072

Single Omics Data

miRNA

0.9545 ± 0.0029

0.9497 ± 0.0062

0.9307 ± 0.0091

0.9373 ± 0.0069

Single Omics Data

DNA methylation

0.9551 ± 0.0024

0.9437 ± 0.0121

0.9263 ± 0.0151

0.9324 ± 0.0131

Multi-Omics Data

mRNA or RNA-Seq

and miRNA

0.9553 ± 0.0037

0.9515 ± 0.0087

0.9337 ± 0.0101

0.9396 ± 0.0069

Multi-Omics Data

mRNA or RNA-Seq

and DNA methylation

0.9546 ± 0.0036

0.9519 ± 0.0065

0.9312 ± 0.0091

0.9387 ± 0.0073

Multi-Omics Data

miRNA and DNA methylation

0.9548 ± 0.0047

0.9505 ± 0.0082

0.9319 ± 0.0099

0.9383 ± 0.0084

Multi-Omics Data

mRNA or RNA-Seq,

miRNA and DNA methylation

0.9628 ± 0.0035

0.9582 ± 0.0082

0.9445 ± 0.0124

0.9489 ± 0.0087