MSA

Uses principal component analysis to improve a set of footprints


Usage
msa <input footprint file> <output footprint file> <number of components>
 
<input footprint file> N (the number of original images) by Nfp  (number of footprints used).
<output footprint file> N by Nfinal
<# components> Nfinal - number of footprint variables too keep in the output file

Typical Usage
msa start.fp start.msa.fp 6

Description
This program will use principal component analysis to reduce the dimensionality of a set of footprints. Depending on which footprint program is used, each footprint will typically contain 10-100 components. msa reduces this dimensionality to a given value by finding the most significant vectors in n-dimensional space and reprojecting the footprints along them. The resulting footprint file should provide less noisy representations of the original images.

msa is typically used just before running classes or classesrefs on the footprint files.

EMAN Copyright 1997-8 Steve Ludtke, Phil Baldwin