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BMCBI
2004
128views more  BMCBI 2004»
14 years 9 months ago
Comparing transformation methods for DNA microarray data
Background: When DNA microarray data are used for gene clustering, genotype/phenotype correlation studies, or tissue classification the signal intensities are usually transformed ...
Helene H. Thygesen, Aeilko H. Zwinderman
BMCBI
2010
147views more  BMCBI 2010»
14 years 9 months ago
CNstream: A method for the identification and genotyping of copy number polymorphisms using Illumina microarrays
Background: Understanding the genetic basis of disease risk in depth requires an exhaustive knowledge of the types of genetic variation. Very recently, Copy Number Variants (CNVs)...
Arnald Alonso, Antonio Julià, Raül Tor...
86
Voted
BMCBI
2008
121views more  BMCBI 2008»
14 years 9 months ago
Stability of gene contributions and identification of outliers in multivariate analysis of microarray data
Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages com...
Florent Baty, Daniel Jaeger, Frank Preiswerk, Mart...
85
Voted
CMSB
2006
Springer
15 years 1 months ago
Possibilistic Approach to Biclustering: An Application to Oligonucleotide Microarray Data Analysis
Abstract. The important research objective of identifying genes with similar behavior with respect to different conditions has recently been tackled with biclustering techniques. I...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
95
Voted
GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
15 years 2 months ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...