782 search results - page 112 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
122
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BMCBI
2008
14 years 12 months ago
2008
Background: Single nucleotide polymorphisms (SNPs) are the most common genetic variations in the human genome and are useful as genomic markers. Oligonucleotide SNP microarrays ha...
BMCBI
2010
14 years 12 months ago
2010
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
BMCBI
2007
14 years 11 months ago
2007
Background: The genomewide pattern of changes in mRNA expression measured using DNA microarrays is typically a complex superposition of the response of multiple regulatory pathway...
KDD
2001
ACM
16 years 6 days ago
2001
ACM
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
103
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EVOW
2005
Springer
15 years 5 months ago
2005
Springer
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...