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Table 1 Clustering of PDB sequences using SPC, gSPC and TRIBE-MCL algorithms

From: Super paramagnetic clustering of protein sequences

K Cases clusters true positive false positive false negative specificity a posteriori sensitivity a priori sensitivity
SPC
2 2472 479 2466 46 18 98.2 99.3 18.9
6 7332 1079 7107 276 274 96.3 96.3 54.4
20 8666 875 8324 413 401 95.3 95.4 63.7
all NN1 8996 740 8507 586 548 93.6 93.9 65.1
TRIBE-MCL
  9208 964 8654 510 614 94.4 93.4 66.2
gSPC
6 7432 880 7252 277 239 96.3 96.8 55.5
20 8961 233 8709 377 314 95.9 96.5 66.6
all NN1 9276 28 9009 392 329 95.8 96.5 68.9
  1. 1- the SPC analysis was performed using the complete similarity matrix and thus all Nearest Neighbors (NN) participated to the algorithm training.