BMC Systems Biology

Table 3 AUC scores of bortezomib sensitivity prediction algorithms in multiple myeloma patients on the test set

From: A link prediction approach to cancer drug sensitivity prediction

m	280	278	275	272	269	MAUC
d	9114	9114	9114	9114	9114	−
A1 + SVR + L	0.668	0.669	0.665	0.663	0.656	0.664
A1 + SVR + S	0.638	0.623	0.637	0.642	0.662	0.640
A1 + RR	0.685	0.673	0.679	0.677	0.690	0.681
m + A1	145	144	143	141	140	−
d + A1	18,228	18,228	18,228	18,228	18,228	−
A2 + SVR + L	0.678	0.678	0.671	0.668	0.654	0.670
A2 + SVR + S	0.661	0.657	0.659	0.659	0.668	0.661
A2 + RR	0.686	0.689	0.696	0.695	0.699	0.693
m + A2	145	144	143	141	140	−
d + A2	9114	9114	9114	9114	9114	−
B + SVR + L	0.613	0.609	0.622	0.628	0.632	0.621
B + SVR + S	0.602	0.600	0.601	0.605	0.598	0.601
B + RR	0.614	0.611	0.603	0.607	0.606	0.608

The algorithm with the highest AUC is shown in bold. MAUC = mean AUC

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ISSN: 1752-0509

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