Analysis of microarrays incorporating adjustments for spatial effects

Alexander Woolaston; Robert David Murison; Bruce Tier

Analysis of microarrays incorporating adjustments for spatial effects

Alexander Woolaston
, Robert David Murison
, Bruce Tier

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the Association for the Advancement of Animal Breeding and Genetics
Editors	AAABG: Association for the Advancement of Animal Breeding, Genetics
Place of Publication	Collingwood, Australia
Pages	262-265
Volume	16
Publication status	Published - 2005
Event	AAABG 2005: 16th Conference of the Association for the Advancement of Animal Breeding and Genetics - Noosa Lakes, Australia Duration: 25 Sept 2005 → 28 Sept 2005

Conference

Conference	AAABG 2005: 16th Conference of the Association for the Advancement of Animal Breeding and Genetics
City	Noosa Lakes, Australia
Period	25/09/05 → 28/09/05

Keywords

Animal Breeding

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https://hdl.handle.net/1959.11/4505

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@inproceedings{1e9b5d58171a4b989873c4eecfc91733,

title = "Analysis of microarrays incorporating adjustments for spatial effects",

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.",

keywords = "Animal Breeding",

author = "Alexander Woolaston and Murison, \{Robert David\} and Bruce Tier",

year = "2005",

language = "English",

isbn = "0643092331",

volume = "16",

pages = "262--265",

editor = "\{Association for the Advancement of Animal Breeding\}, AAABG: and Genetics",

booktitle = "Proceedings of the Association for the Advancement of Animal Breeding and Genetics",

note = "AAABG 2005: 16th Conference of the Association for the Advancement of Animal Breeding and Genetics ; Conference date: 25-09-2005 Through 28-09-2005",

}

Woolaston, A, Murison, RD & Tier, B 2005, Analysis of microarrays incorporating adjustments for spatial effects. in AAABG Association for the Advancement of Animal Breeding & Genetics (eds), Proceedings of the Association for the Advancement of Animal Breeding and Genetics. vol. 16, Collingwood, Australia, pp. 262-265, AAABG 2005: 16th Conference of the Association for the Advancement of Animal Breeding and Genetics, Noosa Lakes, Australia, 25/09/05. <https://hdl.handle.net/1959.11/4505>

Analysis of microarrays incorporating adjustments for spatial effects. / Woolaston, Alexander; Murison, Robert David; Tier, Bruce.
Proceedings of the Association for the Advancement of Animal Breeding and Genetics. ed. / AAABG: Association for the Advancement of Animal Breeding; Genetics. Vol. 16 Collingwood, Australia, 2005. p. 262-265.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis of microarrays incorporating adjustments for spatial effects

AU - Woolaston, Alexander

AU - Murison, Robert David

AU - Tier, Bruce

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Animal Breeding

UR - http://trove.nla.gov.au/work/13321110

UR - http://www.aaabg.org/livestocklibrary/2005/262woolaston.pdf

M3 - Conference contribution

SN - 0643092331

SN - 064309234X

VL - 16

SP - 262

EP - 265

BT - Proceedings of the Association for the Advancement of Animal Breeding and Genetics

A2 - Association for the Advancement of Animal Breeding, AAABG:

A2 - Genetics, null

CY - Collingwood, Australia

T2 - AAABG 2005: 16th Conference of the Association for the Advancement of Animal Breeding and Genetics

Y2 - 25 September 2005 through 28 September 2005

ER -

Analysis of microarrays incorporating adjustments for spatial effects

Abstract

Conference

Keywords

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