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» Combined Gene Selection Methods for Microarray Data Analysis
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BMCBI
2008
93views more  BMCBI 2008»
15 years 6 months ago
MPDA: Microarray pooled DNA analyzer
Background: Microarray-based pooled DNA experiments that combine the merits of DNA pooling and gene chip technology constitute a pivotal advance in biotechnology. This new techniq...
Hsin-Chou Yang, Mei-Chu Huang, Ling-Hui Li, Chien-...
BIODATAMINING
2008
130views more  BIODATAMINING 2008»
15 years 6 months ago
Uncovering mechanisms of transcriptional regulations by systematic mining of cis regulatory elements with gene expression profil
Background: Contrary to the traditional biology approach, where the expression patterns of a handful of genes are studied at a time, microarray experiments enable biologists to st...
Qicheng Ma, Gung-Wei Chirn, Joseph D. Szustakowski...
BMCBI
2010
103views more  BMCBI 2010»
15 years 6 months ago
Nonparametric methods for the analysis of single-color pathogen microarrays
Background: The analysis of oligonucleotide microarray data in pathogen surveillance and discovery is a challenging task. Target template concentration, nucleic acid integrity, an...
Omar J. Jabado, Sean Conlan, P. Lan Quan, Jeffrey ...
BMCBI
2006
146views more  BMCBI 2006»
15 years 6 months ago
GeneTools - application for functional annotation and statistical hypothesis testing
Background: Modern biology has shifted from "one gene" approaches to methods for genomic-scale analysis like microarray technology, which allow simultaneous measurement ...
Vidar Beisvag, Frode K. R. Jünge, Hallgeir Be...
CEC
2007
IEEE
15 years 10 months ago
Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms
In this work we compare the use of a Particle Swarm Optimization (PSO) and a Genetic Algorithm (GA) (both augmented with Support Vector Machines SVM) for the classification of high...
Enrique Alba, José García-Nieto, Lae...