proposeNCP {mlica}R Documentation

Number of independent components proposal function

Description

This function takes the output of PriorNormPCA and returns for a given threshold the number of components to be inferred for subsequent ICA.

Usage

proposeNCP(prPCA, thresh = 0.1)

Arguments

prPCA The output object from PriorNormPCA.
thresh Threshold on eigenvalues.

Value

A list with following components:

X Normalised data matrix.
x Normalised data matrix projected onto selected subspace.
pEx Selected eigenvectors defining subspace for projection.
pCorr Projected correlation matrix.
ncp The dimension of the selected subspace(=number of independent components to be inferred with subsequent ICA).

Author(s)

Andrew Teschendorff aet21@cam.ac.uk

References

1
Hyvaerinen A., Karhunen J., and Oja E.: Independent Component Analysis, John Wiley and Sons, New York, (2001).
2
Kreil D. and MacKay D. (2003): Reproducibility Assessment of Independent Component Analysis of Expression Ratios from DNA microarrays, Comparative and Functional Genomics 4 (3),300–317.
3
Liebermeister W. (2002): Linear Modes of gene expression determined by independent component analysis, Bioinformatics 18, no.1, 51–60.


[Package mlica version 0.6.1 Index]