Automatic Spot Addressing 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...
Guardado en:
| Autores principales: | , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2007
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/22311 |
| Aporte de: |
| id |
I19-R120-10915-22311 |
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| 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 Informática bioinformatics cDNA microarrays image analysis automatic addressing Image Representation Bioingeniería Image displays Logic arrays |
| spellingShingle |
Ciencias Informáticas Informática bioinformatics cDNA microarrays image analysis automatic addressing Image Representation Bioingeniería Image displays Logic arrays Larese, Mónica G. Gómez, Juan Carlos Automatic Spot Addressing in cDNA Microarray Images |
| topic_facet |
Ciencias Informáticas Informática bioinformatics cDNA microarrays image analysis automatic addressing Image Representation Bioingeniería Image displays Logic arrays |
| 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 ef cient 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 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 is matched to the original image. The root mean square error between the estimated locations and the ones computed via a semiautomatic tool is computed to evaluate the accuracy of the process. The method yields promising results with low errors. |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
Larese, Mónica G. Gómez, Juan Carlos |
| author_facet |
Larese, Mónica G. Gómez, Juan Carlos |
| author_sort |
Larese, Mónica G. |
| title |
Automatic Spot Addressing in cDNA Microarray Images |
| title_short |
Automatic Spot Addressing in cDNA Microarray Images |
| title_full |
Automatic Spot Addressing in cDNA Microarray Images |
| title_fullStr |
Automatic Spot Addressing in cDNA Microarray Images |
| title_full_unstemmed |
Automatic Spot Addressing in cDNA Microarray Images |
| title_sort |
automatic spot addressing in cdna microarray images |
| publishDate |
2007 |
| url |
http://sedici.unlp.edu.ar/handle/10915/22311 |
| work_keys_str_mv |
AT laresemonicag automaticspotaddressingincdnamicroarrayimages AT gomezjuancarlos automaticspotaddressingincdnamicroarrayimages |
| bdutipo_str |
Repositorios |
| _version_ |
1764820465576050689 |