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IJON
2006
95views more  IJON 2006»
13 years 7 months ago
Ensemble classifiers based on correlation analysis for DNA microarray classification
Since accurate classification of DNA microarray is a very important issue for the treatment of cancer, it is more desirable to make a decision by combining the results of various ...
Kyung-Joong Kim, Sung-Bae Cho
BIBE
2007
IEEE
115views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
Semiparametric RMA Background-Correction for Oligonucleotide Arrays
—Microarray technology has provided an opportunity to simultaneously monitor the expression levels of a large number of genes in response to intentional perturbations. A necessar...
Ionut Bebu, Françoise Seillier-Moiseiwitsch...
ASE
2010
86views more  ASE 2010»
13 years 7 months ago
Stable rankings for different effort models
There exists a large and growing number of proposed estimation methods but little conclusive evidence ranking one method over another. Prior effort estimation studies suffered fro...
Tim Menzies, Omid Jalali, Jairus Hihn, Daniel Bake...
PAMI
2007
171views more  PAMI 2007»
13 years 7 months ago
Toward Objective Evaluation of Image Segmentation Algorithms
—Unsupervised image segmentation is an important component in many image understanding algorithms and practical vision systems. However, evaluation of segmentation algorithms thu...
Ranjith Unnikrishnan, Caroline Pantofaru, Martial ...
BMCBI
2004
208views more  BMCBI 2004»
13 years 7 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov