Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Segmenting microarray images using a contour-based method
Year:2015
Research Areas
  • Information technology and adata processing
Information
Abstract
In this work we describe a new segmentation technique for the Affymetrix microarray images. We prove that our method can offer better predictions on the gene levels as opposed to the standard Affymetrix segmentation implemented in the Affymetrix GeneChip Operating Software (GCOS). To check the accuracy and show the benefits of the new segmentation method we use a previously implemented methodology to simulate microarray images with realistic features. Using such an "artificial" image provides us with the actual levels for each spot and each gene investigated in the microarray. Using this information we then proceed to segment the same image twice (with GCOS and our new method). The two segmentations will produce two sets of gene levels that are then compared to the known gene levels (known since the moment of generating the "artificial" image). Using this methodology we are able to show statistically (using 50 replicates of the same steps of generating the image, segmenting, comparing the results) that in some cases our new method greatly outperforms the GCOS implemented segmentation method, while in the rest of the cases performs in similar fashion.
International
Si
JCR
No
Title
Theoretical Computer Science
ISBN
0304-3975
Impact factor JCR
Impact info
Volume
Journal number
From page
108
To page
118
Month
SIN MES
Ranking
Participants
  • Autor: Paul Andrei Paun (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial
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Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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