696 search results - page 121 / 140 » ICA-based Clustering of Genes from Microarray Expression Dat... |
MMAS
2010
Springer
13 years 2 months ago
2010
Springer
A unified variational methodology is developed for classification and clustering problems, and tested in the classification of tumors from gene expression data. It is based on flu...
GCB
2003
Springer
14 years 1 months ago
2003
Springer
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
BMCBI
2010
13 years 8 months ago
2010
Background: Meta-analysis methods exist for combining multiple microarray datasets. However, there are a wide range of issues associated with microarray meta-analysis and a limite...
BMCBI
2010
13 years 2 months ago
2010
Background: Genome context methods have been introduced in the last decade as automatic methods to predict functional relatedness between genes in a target genome using the patter...
BMCBI
2006
13 years 8 months ago
2006
Background: Raw data normalization is a critical step in microarray data analysis because it directly affects data interpretation. Most of the normalization methods currently used...