Prioritization of candidate disease genes by topological similarity between disease and protein diffusion profiles

Table 2 Performances of different algorithms at different values of $γ$

Method		0.1	0.2	0.25	0.3	0.4	0.5	0.6	0.7	0.8	0.9
RWR	PRE	370	379	384	380	380	377	371	370	370	369
	AUC	0.7549	0.7549	0.7542	0.7527	0.7507	0.7493	0.7477	0.7465	0.7451	0.7435
PRINCE	PRE	350	352	359	351	341	329	309	287	263	229
	AUC	0.7457	0.7372	0.7309	0.7235	0.7027	0.6758	0.6427	0.6017	0.5429	0.4371
The present work ^a	PRE_LCC	405	417	422	419	419	417	415	414	413	407
	AUC_LCC	0.7487	0.7616	0.7634	0.7643	0.7659	0.7674	0.7688	0.7698	0.7683	0.7694
	PRE_COS	407	421	423	419	421	418	412	411	412	406
	AUC_COS	0.7473	0.7604	0.7618	0.7631	0.7637	0.7644	0.7638	0.7636	0.7619	0.7606

^a The pensions are divided by/1238; run time of our algorithm is 38 minutes. Computations were performed on a single processor of a dual-core Intel (R) Core P8700 2.53 GHz and 2 GB GB of shared memory.

ISSN: 1471-2105