Processing of microarray images

Fernando Mastandrea, Álvaro Pardo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

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Resumen

In this paper we present the results of a system for processing microarray images which includes the gridding and spot detection steps. The main goal of this work is to develop automatic methods to process microarray images including confidence measures on the results. The gridding step is based on the method proposed in [1] and improves it by the automatic determination of the grid parameters, and a more precise orientation detection. For spot detection the algorithm uses the Number of False Alarms methodology [2] which can be used to finely adjust the spot position and provides a confidence measure on the detection. We test the results obtained by our method with simulated images against existing microarray software.

Idioma originalInglés
Título de la publicación alojadaProgress in Pattern Recognition, Image Analysis, Computer Vision and Applications - 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Proceedings
Páginas962-969
Número de páginas8
DOI
EstadoPublicada - 2009
Evento14th Iberoamerican Conference on Pattern Recognition, CIARP 2009 - Guadalajara, Jalisco
Duración: 15 nov. 200918 nov. 2009

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen5856 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia14th Iberoamerican Conference on Pattern Recognition, CIARP 2009
País/TerritorioMexico
CiudadGuadalajara, Jalisco
Período15/11/0918/11/09

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