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» Unsupervised SVM-based gridding for DNA microarray images
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CMIG
2010
110views more  CMIG 2010»
12 years 12 months ago
Unsupervised SVM-based gridding for DNA microarray images
This paper presents a novel method for unsupervised DNA microarray gridding based on Support Vector Machines (SVMs). Each spot is a small region on the microarray surface where cha...
Dimitris G. Bariamis, Dimitris Maroulis, Dimitrios...
CBMS
2007
IEEE
13 years 11 months ago
An Unsupervised and Fully-Automated Image Analysis Method for cDNA Microarrays
Microarray gene expression image analysis is a labor-intensive task and requires human intervention since microarray images are contaminated with noise and artifacts while spots a...
Eleni Zacharia, Dimitrios E. Maroulis
ICIAR
2005
Springer
13 years 10 months ago
A New Approach to Automatically Detecting Grids in DNA Microarray Images
Image and statistical analysis are two important aspects of microarray technology. Of these, gridding is necessary to accurately identify the location of each spot while extracting...
Luís G. Rueda, Vidya Vidyadharan
ICIP
2008
IEEE
13 years 11 months ago
Microarray image gridding via an evolutionary algorithm
Gridding is the first, essential stage of processing cDNA microarray images. The existing tools for allocating the grid structure in a microarray image often require human interve...
Eleni Zacharia, Dimitris Maroulis
BIBE
2008
IEEE
150views Bioinformatics» more  BIBE 2008»
13 years 5 months ago
Automatic DNA microarray gridding based on Support Vector Machines
This paper presents a novel method for DNA microarray gridding based on Support Vector Machine (SVM) classifiers. It employs a set of soft-margin SVMs to estimate the lines of the ...
Dimitris G. Bariamis, Dimitris Maroulis, Dimitrios...