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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Accuracy of a machine learning method based on structural and locational information from AlphaFold2 for predicting the pathogenicity of TARDBP and FUS gene variants in ALS

Fig. 2

We used receiver operating characteristic (ROC) curve analysis to determine whether MOVA (red line), CADD (blue line), PolyPhen-2 (orange line), EVE (gray line), REVEL (black line), or AlphScore (green line) classified variants for TARDBP, FUS, SETX, TBK1, OPTN, SOD1, VCP, SQSTM1, ANG, UBQLN2, DCTN1, and CCNF as positive or negative. For MOVA, the stratified fivefold cross-validation was repeated 5 times, so the cvAUC function of the cvAUC package was used to draw the average of the ROC curves for 25 times

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BMC Bioinformatics

ISSN: 1471-2105

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