X-Git-Url: http://source.jalview.org/gitweb/?a=blobdiff_plain;f=help%2Fhtml%2Fcalculations%2Fpca.html;h=d9b4b45010475cf3b3192fc47c39dfa7a21a7518;hb=b76d0ffcb6effa94954f75e030d1d67c890134eb;hp=8cbf0ca8cb41a30a475ca090485865c28076285a;hpb=96b6991703b70a1bbb0491f9946d397c9fcf5a38;p=jalview.git diff --git a/help/html/calculations/pca.html b/help/html/calculations/pca.html index 8cbf0ca..d9b4b45 100755 --- a/help/html/calculations/pca.html +++ b/help/html/calculations/pca.html @@ -1,4 +1,21 @@ + Principal Component Analysis @@ -23,9 +40,12 @@ of variation in the data set.

In this case, the components are generated by an eigenvector decomposition of the matrix formed from the sum of BLOSUM scores at each -aligned position between each pair of sequences. The basic method is -described in the paper by G. Casari, C. Sander and A. Valencia. -Structural Biology volume 2, no. 2, February 1995 (pubmed) and implemented at the SeqSpace server at the EBI.

@@ -50,7 +70,7 @@ sequence in the associated alignment window views. Rectangular region based selection is also possible, by holding the 'S' key whilst left-clicking and dragging the mouse over the display. By default, points are only associated with the alignment view from which the PCA -was calculated, but this may be changed via the Associate +was calculated, but this may be changed via the View→Associate Nodes sub-menu.

Initially, the display shows the first three components of the similarity space, but any eigenvector can be used by changing the