LncRNA–protein interaction prediction with reweighted feature selection

BMC Bioinformatics

Table 2 Contrast to existing methods across datasets

Data set	Method	Precision	Recall	Accuracy	F1
Human 1	LPI-HyADBS	0.699	0.344	0.619	0.475
	LPI-SKF	0.600	0.400	0.567	0.480
	LPI-NRLMF	0.459	0.369	0.467	0.409
	LPI-ETSLP	0.452	0.513	0.445	0.481
	RBFS	0.712	0.804	0.8	0.747
Human 2	LPI-HyADBS	0.754	0.704	0.77	0.754
	LPI-SKF	0.512	0.500	0.511	0.5057
	LPI-NRLMF	0.534	0.561	0.536	0.547
	LPI-ETSLP	0.4524	0.5135	0.4459	0.481
	RBFS	0.812	0.898	0.87	0.818
Human 3	LPI-HyADBS	0.553	0.609	0.559	0.58
	LPI-SKF	0.555	0.531	0.553	0.543
	LPI-NRLMF	0.533	0.307	0.519	0.390
	LPI-ETSLP	0.571	0.363	0.545	0.444
	RBFS	0.66	0.795	0.754	0.72
Arabidopsis	LPI-HyADBS	0.532	0.6	0.536	0.564
	LPI-SKF	0.611	0.282	0.551	0.386
	LPI-NRLMF	0.450	0.225	0.475	0.300
	LPI-ETSLP	0.517	0.428	0.514	0.468
	RBFS	0.714	0.687	0.763	0.699
Maize	LPI-HyADBS	0.703	0.77	0.729	0.74
	LPI-SKF	0.5714	0.3636	0.545	0.444
	LPI-NRLMF	0.500	0.378	0.500	0.430
	LPI-ETSLP	0.533	0.307	0.519	0.390
	RBFS	0.712	0.71	0.758	0.747

ISSN: 1471-2105