BMC Bioinformatics

Table 1 Performance of MOVA for the 12 ALS causative genes

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

Gene	AUC	Cutoff	Positive variant	Negative variant
TARDBP	0.772	0.63	55	34
FUS	0.841	0.429	54	153
SETX	0.678	0.0434	40	939
TBK1	0.513	0.153	35	153
OPTN	0.501	0.192	21	173
SOD1	0.786	0.861	181	13
VCP	0.847	0.509	53	67
SQSTM1	0.473	0.123	29	182
ANG	0.464	0.407	23	43
UBQLN2	0.769	0.279	19	118
DCTN1	0.524	0.124	18	390
CCNF	0.696	0.046	16	297

AUC area under the curve

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ISSN: 1471-2105

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