Upload resources

Upload your works to SEDICI to increase its visibility and improve its impact

 

Show simple item record

dc.date.accessioned 2012-10-15T14:40:35Z
dc.date.available 2012-10-15T14:40:35Z
dc.date.issued 2006-10
dc.identifier.uri http://hdl.handle.net/10915/22453
dc.description.abstract Images from complementary DNA (cDNA) microarrays need to be processed automatically due to the huge amount of information that they provide. In addition, automatic processing is also required to implement batch processes able to manage large image databases. Most of existing softwares for microarray image processing are semiautomatic, and they usually need user intervention to select several parameters such as positional marks on the grids, or to correct the results of different stages of the automatic processing. On the other hand, many of the available automatic algorithms fail when dealing with rotated images or misaligned grids. In this work, a novel automatic algorithm for cDNA image gridding based on spatial constrained K-means and Voronoi diagrams is presented. The proposed algorithm consists of several steps, viz., image denoising by means of median filtering, spot segmentation using Canny edge detector and morphological reconstruction, and gridding based on spatial constrained K-means and Voronoi diagrams computation. The performance of the algorithm was evaluated on microarray images from public databases yielding promising results. The algorithm was compared with other existing methods and it shows to be more robust to rotations and misalignments of the grids. en
dc.format.extent p. 667-678 es
dc.language en es
dc.title Automatic gridding of microarray images based on spatial constrained K-means and Voronoi diagrams en
dc.type Objeto de conferencia es
sedici.creator.person Larese, Mónica es
sedici.creator.person Bayá, Ariel es
sedici.creator.person Gómez, Juan Carlos es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.keyword bioinformatics en
sedici.subject.keyword cDNA microarrays en
sedici.subject.keyword image analysis en
sedici.subject.keyword K-means en
sedici.subject.keyword automatic gridding en
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2006-10
sedici.relation.event XII Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es


Files in this item

This item appears in the following Collection(s)

Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)