Table 5.

Prediction success rate (SR) and the optimal R of Dataset 2 for protein sub-nuclear localization by 10-fold cross validation with different representations.

Sub-Nuclear Location	PseAAC	DipC	PSSM	PseAAPSSM		DipPSSM
	SR (k = 9)	SR (k = 9)	SR (k = 6)	SR (k = 4)	R	SR (k = 4)	R
1. Centromere	0.2495	0.0916	0.6088	0.7908	0.9911	0.7889	0.9901
2. Chromosome	0.3397	0.3861	0.4819	0.9299	0.9976	0.9279	0.9980
3. Nuclear speckle	0.3188	0.3164	0.3504	0.3460	0.6983	0.3416	0.7000
4. Nucleolus	0.8679	0.8692	0.8301	0.9360	0.2504	0.9337	0.2498
5. Nuclear envelope	0.2670	0.0980	0.0070	0.0640	0.1978	0.0060	0.2000
6. Nuclear matrix	0.1880	0.1660	0.2630	0.3110	0.2391	0.3170	0.2400
7. Nucleoplasm	0.0313	0.0307	0.1667	1.0000	0.9992	1.0000	0.9998
8. Nuclear pore complex	0.4110	0.4750	0.3210	0.5080	0.2187	0.5190	0.2206
9. Nuclear PML body	0.0010	0.0020	0.0260	0.0850	0.2079	0.0660	0.2100
10. Telomere	0.0998	0.0873	0.3923	0.4738	0.1213	0.4725	0.1200
Overall	0.5168	0.5025	0.5931	0.7874	–	0.7855	–