| |
UPGMA
|
NJ
|
|---|
|
salign-CK-36-PDB-BLOSUM62-local
|
0.9849
|
0.7677
|
|
salign-CK-36-PDB-PAM120-global
|
0.9533
|
0.8556
|
|
salign-SP-86-PDB-BLOSUM62-local
|
0.5391
|
0.5481
|
|
salign-SP-86-PDB-PAM120-global
|
0.5488
|
0.5491
|
|
cor-word-1-CK-36-PDB
|
0.5600
|
0.5718
|
|
cor-word-2-CK-36-PDB
|
0.5837
|
0.5837
|
|
cor-word-3-CK-36-PDB
|
0.5117
|
0.5616
|
|
cor-word-1-SP-86-PDB
|
0.5447
|
0.5356
|
|
cor-word-2-SP-86-PDB
|
0.5319
|
0.5265
|
|
cor-word-3-SP-86-PDB
|
0.5392
|
0.5292
|
- Experimental results for the CK-36-PDB and the SP-86-PDB data sets, with different alternative methods to build distance matrices, that is, global and local alignments as well as k-tuple statistics and correlations. For each distance matrix associated to a method, we report the F-measure for both UPGMA and NJ methods.
