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Fig. 2 | BMC Bioinformatics

Fig. 2

From: SPECS: a non-parametric method to identify tissue-specific molecular features for unbalanced sample groups

Fig. 2

Benchmarking SPECS compared to the other scores by multiplication of the background signal in one tissue. a Ranked specificity score values for different metrics. Ranks are higher for SPECS compared to the other metrics. b A gene with induced specificity that is ranked higher SPECS compared to the other metrics shows a large expression overlap with the other tissues. c A gene with induced specificity, that is ranked lower all metrics shows less expression overlap with the other tissues. d Correlation between the summed rank of the gene expression with the rank of the score for each metric. SPECS shows the strongest correlation

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BMC Bioinformatics

ISSN: 1471-2105

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