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» A stable gene selection in microarray data analysis
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BMCBI
2007
117views more  BMCBI 2007»
13 years 8 months ago
Meta-analysis of several gene lists for distinct types of cancer: A simple way to reveal common prognostic markers
Background: Although prognostic biomarkers specific for particular cancers have been discovered, microarray analysis of gene expression profiles, supported by integrative analysis...
Xinan Yang, Xiao Sun
BMCBI
2008
128views more  BMCBI 2008»
13 years 8 months ago
Validation of an NSP-based (negative selection pattern) gene family identification strategy
Background: Gene family identification from ESTs can be a valuable resource for analysis of genome evolution but presents unique challenges in organisms for which the entire genom...
Ronald L. Frank, Cyriac Kandoth, Fikret Erç...
BMCBI
2006
123views more  BMCBI 2006»
13 years 7 months ago
How to decide? Different methods of calculating gene expression from short oligonucleotide array data will give different result
Background: Short oligonucleotide arrays for transcript profiling have been available for several years. Generally, raw data from these arrays are analysed with the aid of the Mic...
Frank F. Millenaar, John Okyere, Sean T. May, Mart...
ICPR
2004
IEEE
14 years 9 months ago
Missing Microarray Data Estimation Based on Projection onto Convex Sets Method
DNA microarrays have gained widespread uses in biological studies. Missing values in a microarray experiment must be estimated before further analysis. In this paper, we propose a...
Alan Wee-Chung Liew, Hong Yan, Xiangchao Gan
BMCBI
2004
87views more  BMCBI 2004»
13 years 7 months ago
Selection of informative clusters from hierarchical cluster tree with gene classes
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
Petri Törönen