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» A meta-data based method for DNA microarray imputation
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AUSAI
2007
Springer
13 years 9 months ago
Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
Peter J. Tan, David L. Dowe, Trevor I. Dix
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
BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
13 years 5 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
CMIG
2010
110views more  CMIG 2010»
13 years 5 days 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...
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