CircSSNN: circRNA-binding site prediction via sequence self-attention neural networks with pre-normalization

Cao, Chao; Yang, Shuhong; Li, Mengli; Li, Chungui

doi:10.1186/s12859-023-05352-7

BMC Bioinformatics

Table 2 Average value of AUC obtained by different methods on 31 linear RNA datasets

From: CircSSNN: circRNA-binding site prediction via sequence self-attention neural networks with pre-normalization

Dataset	CircSSNN	HCRNet	iCircRBP-DHN	CRIP	CSCRSites	CircSLNN	CircRB
AGO1234	0.907	0.909	0.788	0.737	0.708	0.662	0.588
AGO2-M	0.825	0.809	0.736	0.598	0.583	0.557	0.538
Binding_1	0.968	0.967	0.925	0.862	0.842	0.795	0.588
Binding_2	0.972	0.959	0.929	0.852	0.828	0.754	0.676
AGO2	0.805	0.804	0.800	0.638	0.636	0.562	0.609
eIF4AIII_1	0.975	0.970	0.963	0.952	0.937	0.894	0.769
eIF4AIII_2	0.979	0.973	0.963	0.954	0.944	0.897	0.775
ELVAL1-1	0.956	0.946	0.939	0.918	0.910	0.882	0.808
ELVAL1-M	0.807	0.825	0.695	0.604	0.581	0.520	0.525
ELVAL1-A	0.937	0.938	0.922	0.898	0.876	0.845	0.762
ELVAL1-2	0.966	0.954	0.943	0.926	0.925	0.898	0.784
EWSR1	0.943	0.937	0.918	0.912	0.884	0.851	0.765
FUS	0.949	0.951	0.947	0.941	0.907	0.905	0.791
mut-FUS	0.960	0.961	0.946	0.939	0.907	0.907	0.760
IGF2BP1-3	0.891	0.888	0.781	0.693	0.703	0.597	0.523
hnRNPC-1	0.973	0.965	0.952	0.963	0.936	0.935	0.862
hnRNPC-2	0.987	0.980	0.974	0.985	0.967	0.962	0.863
hnRNPL-1	0.891	0.842	0.829	0.748	0.650	0.670	0.584
hnRNPL-2	0.836	0.800	0.761	0.740	0.636	0.654	0.583
HnRNPL-L	0.835	0.824	0.779	0.685	0.632	0.636	0.555
MOV10	0.932	0.919	0.885	0.814	0.803	0.764	0.588
NSUN2	0.913	0.898	0.832	0.865	0.798	0.776	0.672
PUM2	0.969	0.977	0.969	0.963	0.959	0.920	0.814
QKI	0.963	0.971	0.962	0.967	0.956	0.929	0.818
SFRS1	0.939	0.941	0.912	0.886	0.885	0.794	0.659
TAF1S	0.966	0.972	0.971	0.963	0.922	0.925	0.796
TDP-43	0.961	0.948	0.928	0.911	0.913	0.841	0.762
TIA1	0.966	0.955	0.945	0.930	0.891	0.894	0.817
TIAL1	0.941	0.928	0.915	0.898	0.864	0.847	0.804
U2AF65	0.981	0.978	0.971	0.968	0.918	0.932	0.852
Y2AF65	0.961	0.962	0.951	0.935	0.906	0.893	0.792
Avg	0.931	0.924	0.895	0.860	0.832	0.803	0.712

The top-2 results of every column are highlighted in bold

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