Pixel-level signal modelling with spatial correlation for two-colour microarrays.
Stat Appl Genet Mol Biol
; 4: Article6, 2005.
Article
en En
| MEDLINE
| ID: mdl-16646859
ABSTRACT
Statistical models for spot shapes and signal intensities are used in image analysis of laser scans of microarrays. Most models have essentially been based on the assumption of independent pixel intensity values, but models that allow for spatial correlation among neighbouring pixels can accommodate errors in the microarray slide and should improve the model fit. Five spatial correlation structures, exponential, Gaussian, linear, rational quadratic and spherical, are compared for a dataset with 50-mer two-colour oligonucleotide microarrays and 452 probes for selected Arabidopsis genes. Substantial improvement in model fit is obtained for all five correlation structures compared to the model with independent pixel values, and the Gaussian and the spherical models seem to be slightly better than the other three models. We also conclude that for the data set analysed the correlation seems negligible for non-neighbouring pixels.
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Colección:
01-internacional
Banco de datos:
MEDLINE
Tipo de estudio:
Risk_factors_studies
Idioma:
En
Revista:
Stat Appl Genet Mol Biol
Asunto de la revista:
BIOLOGIA MOLECULAR
/
GENETICA
Año:
2005
Tipo del documento:
Article