Analysis of microarrays incorporating adjustments for spatial effects

Author(s)
Woolaston, Alexander
Murison, Robert David
Tier, Bruce
Publication Date
2005
Abstract
Various models were used to extract spatial effects from microarray data. Large discrepancies between the rankings of genes for the different methods were found, due to the roughness of the signal. Models assuming separability and autocorrelation did not perform as well as wavelets because the data were fractal in dimension, so assumptions underlying those models were violated.
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.16, p. 262-265
ISBN
0643092331
064309234X
ISSN
1328-3227
Link
https://hdl.handle.net/1959.11/4505
Language
en
Title
Analysis of microarrays incorporating adjustments for spatial effects
Type of document
Conference Publication
Entity Type
Publication

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