979 search results - page 50 / 196 » Analysis of variance components in gene expression data |
BMCBI
2004
14 years 9 months ago
2004
Background: Microarray studies in cancer compare expression levels between two or more sample groups on thousands of genes. Data analysis follows a population-level approach (e.g....
BMCBI
2008
14 years 10 months ago
2008
Background: Most microarray experiments are carried out with the purpose of identifying genes whose expression varies in relation with specific conditions or in response to enviro...
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JBI
2004
14 years 11 months ago
2004
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
BMCBI
2007
14 years 10 months ago
2007
Background: Classifying nuclear magnetic resonance (NMR) spectra is a crucial step in many metabolomics experiments. Since several multivariate classification techniques depend up...
ICTAI
2007
IEEE
15 years 4 months ago
2007
IEEE
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...