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Figure 2 | BMC Bioinformatics

Figure 2

From: Core module biomarker identification with network exploration for breast cancer metastasis

Figure 2

Reproducible power of pathway inference methods. The reproducibility power of a pathway inference method in an inference-validation pair datasets is measured by C s c o r e ( N ) = 1 N i = 1 N t s c o r e ( P I i ) t s c o r e ( P V i ) , where P I i is the ith PA in descending order in the inference dataset, P V i is its corresponding PA in the validation dataset, and N is the number of selected inferred pathways. The overall reproducibility is then defined as the average Cscore of selected top inferred pathway activities over all six inference-validation pairs. We compared CMI with five inference methods, including the CORG, mean, median, first component score of PCA, as well as no-inferring gene method. Comparing by different ranges of top inferred activities, the CMI showed significant better overall reproducibility over other methods.

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