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» Unfolding of Microarray Data
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IMSCCS
2006
IEEE
14 years 1 months ago
Estimation Of Cross-Hybridization Signals Using Support Vector Regression
Microarray technology is a powerful biotechnology tool which allows researchers to simultaneously evaluate the expression of thousands of genes, if not the entire expressed genome...
Yijun Sun, Li Liu, Mick Popp, William G. Farmerie
ISMIS
2003
Springer
14 years 1 months ago
Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification
Owing to the development of DNA microarray technologies, it is possible to get thousands of expression levels of genes at once. If we make the effective classification system with ...
Chanho Park, Sung-Bae Cho
ALMOB
2007
111views more  ALMOB 2007»
13 years 8 months ago
Transcriptional regulatory network discovery via multiple method integration: application to e. coli K12
Motivation: Transcriptional regulatory network (TRN) discovery from one method (e.g. microarray analysis, gene ontology, phylogenic similarity) does not seem feasible due to lack ...
Jingjun Sun, Kagan Tuncay, Alaa Abi Haidar, Lisa E...
BMCBI
2010
193views more  BMCBI 2010»
13 years 8 months ago
Probe set filtering increases correlation between Affymetrix GeneChip and qRT-PCR expression measurements
Background: Affymetrix GeneChip microarrays are popular platforms for expression profiling in two types of studies: detection of differential expression computed by p-values of t-...
Jakub Mieczkowski, Magdalena E. Tyburczy, Michal D...
BMCBI
2007
103views more  BMCBI 2007»
13 years 8 months ago
A comprehensive evaluation of SAM, the SAM R-package and a simple modification to improve its performance
Background: The Significance Analysis of Microarrays (SAM) is a popular method for detecting significantly expressed genes and controlling the false discovery rate (FDR). Recently...
Shunpu Zhang