41 search results - page 6 / 9 » Missing value imputation improves clustering and interpretat... |
BMCBI
2005
13 years 7 months ago
2005
Background: Development of robust and efficient methods for analyzing and interpreting high dimension gene expression profiles continues to be a focus in computational biology. Th...
BMCBI
2011
12 years 11 months ago
2011
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
ICMLA
2010
13 years 5 months ago
2010
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
In many applications, the expert interpretation of coclustering is easier than for mono-dimensional clustering. Co-clustering aims at computing a bi-partition that is a collection...
BMCBI
2011
13 years 2 months ago
2011
Background: Time course microarray profiles examine the expression of genes over a time domain. They are necessary in order to determine the complete set of genes that are dynamic...