CA SRE - Correspondence Analysis - Reconstitution of eigenimages

(2/05/13)

PURPOSE

Reconstitute eigenimages using selected factors. Creates eigenimages which are images corresponding to chosen eigenvectors. Uses either CORAN or PCA reconstitution as appropriate.
See: Classification and Clustering Tutorial for further info.   Example.

SEE ALSO

CA S [Correspondence Analysis - Solution]
CA SM [Correspondence Analysis - Show Map & Eigen Values]
CA SR [Correspondence Analysis - Reconstitute images]
CA SRA [Correspondence Analysis - Arbitrary image reconstitution]
CA SRD [Correspondence Analysis - Reconstitute Differential images]
CA SRI [Correspondence Analysis - Reconstitute Importance images]

USAGE

.OPERATION: CA SRE

.CORAN/PCA FILE PREFIX: coran_t
[Enter the prefix for the files created in 'CA S'.]

If the source 'CA S' run utilized PCA, the following question will appear:

.SUBTRACT AVERAGE IN PCA RECONSTRUCTION? (N/Y): N

.FACTORS TO BE USED: 2-4
[Enter the factors to be used for image reconstitution. Note that the numbers have to be less or equal to the number used in 'CA S'.]

.OUTPUT FILE: CASRE_024
[Enter name for the the output file created here.]

NOTES

  1. For a detailed explanation of concepts used for CORAN here see: J.P. Bretaudiere and J. Frank (1986) J. Microscopy 144:1-14. Importance images are defined in J. Frank and M. van Heel (1982) J. Mol. Biol. 161:133-137.

SUBROUTINES

JPMSK2

CALLER

UTIL1

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