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Table 2 Performances of different algorithms at different values of γ

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

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
  1. 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.