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» Improving gene set analysis of microarray data by SAM-GS
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BMCBI
2005
104views more  BMCBI 2005»
13 years 7 months ago
A statistical approach for array CGH data analysis
Background: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences imm...
Franck Picard, Stéphane Robin, Marc Laviell...
EVOW
2005
Springer
14 years 1 months ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler
RECOMB
2008
Springer
14 years 7 months ago
Integrating Sequence and Topology for Efficient and Accurate Detection of Horizontal Gene Transfer
Abstract. One phylogeny-based approach to horizontal gene transfer (HGT) detection entails comparing the topology of a gene tree to that of the species tree, and using their differ...
Cuong Than, Guohua Jin, Luay Nakhleh
BMCBI
2010
111views more  BMCBI 2010»
13 years 7 months ago
Functional Analysis: Evaluation of Response Intensities - Tailoring ANOVA for Lists of Expression Subsets
Background: Microarray data is frequently used to characterize the expression profile of a whole genome and to compare the characteristics of that genome under several conditions....
Fabrice Berger, Bertrand De Meulder, Anthoula Gaig...
BMCBI
2006
146views more  BMCBI 2006»
13 years 7 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...