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Table 3 Weights put on GC versus LC by different SCA methods.

From: A structured overview of simultaneous component based data integration

 

GC

LC

PCovR GC1

1.00

0

STATIS

.99

.01

SCA-P

.77

.23

MFA

.66

.34

SUM-PCA

.50

.50

PCovR LC1

0

1.00

  1. 1: Matrix-specific weights obtained by leave one out crossvalidation using the observed scores in the LC data to reproduce the scores of the GC data (PCovR GC) or the other way around (PCovR LC).
  2. These weights have been calculated as the matrix-specific sum of squares divided by the sum of squares of the concatenated data.
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BMC Bioinformatics

ISSN: 1471-2105

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