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Figure 2 | BMC Medical Genetics

Figure 2

From: Assessment of the predictive accuracy of five in silico prediction tools, alone or in combination, and two metaservers to classify long QT syndrome gene mutations

Figure 2

The accuracy (acc), sensitivity (sens), specificity (spec) and MCC scores of all the different combinations of in silico prediction tools and metaservers for the whole of SCN5A, only the amino-/carboxyl-terminus and transmembrane domain (N/TM/C) of SCN5A, and only the loop regions of SCN5A. The sensitivity and specificity percentages highlighted in light green represent the combination of in silico tools and metaservers with high sensitivity or specificity percentages; dark green represents the combination of in silico tools or metaservers with the best performance; light blue represents the combination of in silico tools and metaservers with high MCC scores, and dark blue represents the combination of in silico tools or metaservers with the best performance; light orange represents the combination of in silico tools and metaservers with high accuracy percentages; yellow represents the combination of in silico tools or metaservers with the best performance; red represents the combination of in silico tools and metaservers with MCC scores below 0.

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