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Table 2 Average computation time (in seconds) of different integration algorithms with different training sizes

From: A comparison of graph- and kernel-based –omics data integration algorithms for classifying complex traits

Integration Algorithms

Training Size 100

Training Size 400

Graph-based semi-supervised learning

0.127

4.148

Graph sharpening integration

0.052

1.943

Composite association network

0.007

0.052

Bayesian network

0.002

0.004

Semi-definite programming – SVM

12.553

28.186

Relevance vector machine

10.471

368.455

Ada-boost relevance vector machine

23.190

306.172