Automatic Spot Adressing in cDNA Microarray Images

Complementary DNA (cDNA) microarrays are a powerful high throughput technology developed in the last decade allowing researchers to analyze the behaviour and interaction of thousands of genes simultaneously. The large amount of information provided by microarray images requires automatic techniques...

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Detalles Bibliográficos
Autores principales:	Larese, Mónica G., Gómez, Juan Carlos
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2008
Materias:	Ciencias Informáticas bioinformatics cDNA microarrays image analysis automatic addressing
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/9625 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Jul08-2.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-9625
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas bioinformatics cDNA microarrays image analysis automatic addressing
spellingShingle	Ciencias Informáticas bioinformatics cDNA microarrays image analysis automatic addressing Larese, Mónica G. Gómez, Juan Carlos Automatic Spot Adressing in cDNA Microarray Images
topic_facet	Ciencias Informáticas bioinformatics cDNA microarrays image analysis automatic addressing
description	Complementary DNA (cDNA) microarrays are a powerful high throughput technology developed in the last decade allowing researchers to analyze the behaviour and interaction of thousands of genes simultaneously. The large amount of information provided by microarray images requires automatic techniques to develop accurate and efﬁcient processing. Each spot in the microarray contains the hybridization level of a single gene. One of the most important features of these images are the regularity and pseudo-periodicity implicit in the spot arrangement. In this paper, an automatic approach based on texture analysis characterization techniques is proposed to localize spots in microarray images. The method estimates the displacement vectors which characterize the texture (i.e. the spot arrangement). This is achieved by means of applying the generalized Hough transform on the 2D autocorrelation function previously segmented via morphological operations. The obtained displacement vectors are used to generate a grid template which overlaps the original image. The Root-Mean-Square-Error (RMSE) between the estimated locations and the ones computed via a semiautomatic tool is calculated to evaluate the accuracy of the process. The method yields promising results.
format	Articulo Articulo
author	Larese, Mónica G. Gómez, Juan Carlos
author_facet	Larese, Mónica G. Gómez, Juan Carlos
author_sort	Larese, Mónica G.
title	Automatic Spot Adressing in cDNA Microarray Images
title_short	Automatic Spot Adressing in cDNA Microarray Images
title_full	Automatic Spot Adressing in cDNA Microarray Images
title_fullStr	Automatic Spot Adressing in cDNA Microarray Images
title_full_unstemmed	Automatic Spot Adressing in cDNA Microarray Images
title_sort	automatic spot adressing in cdna microarray images
publishDate	2008
url	http://sedici.unlp.edu.ar/handle/10915/9625 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Jul08-2.pdf
work_keys_str_mv	AT laresemonicag automaticspotadressingincdnamicroarrayimages AT gomezjuancarlos automaticspotadressingincdnamicroarrayimages
bdutipo_str	Repositorios
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Automatic Spot Adressing in cDNA Microarray Images

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