Identification of properties important to protein aggregation using feature selection

BMC Bioinformatics

Table 4 Comparison results with other methods

	TN	FN	TP	FP	Negative precision	Positive precision	Ac
ProA-RF	136	30	154	34	0.8193	0.8191	0.8192
ProA-SVM	136	40	144	34	0.7727	0.8090	0.7910
ZYGGREGATOR	136	45	139	34	0.7514	0.8035	0.7768
AAGRESCAN	136	61	123	34	0.6904	0.7834	0.7316
FoldAmyloid	136	68	116	34	0.6667	0.7733	0.7119
TANGO	136	86	98	34	0.6126	0.7424	0.6610
PAGE	136	88	96	34	0.6071	0.7385	0.6554

TP: the number of True Positive samples; FN: the number of False Negative samples; FP: the number of false positive samples and TP: the number of true positive samples. Ac: Accuracy.

ISSN: 1471-2105