41 search results - page 1 / 9 » Missing value imputation improves clustering and interpretat... |
BMCBI
2008
13 years 5 months ago
2008
Background: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value i...
BMCBI
2006
13 years 5 months ago
2006
Background: Microarray technology has become popular for gene expression profiling, and many analysis tools have been developed for data interpretation. Most of these tools requir...
BMCBI
2008
13 years 5 months ago
2008
Background: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile ...
BIOINFORMATICS
2007
13 years 4 months ago
2007
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
BIBE
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract—A novel microarray value imputation method, HICCUP1 , is presented. HICCUP improves upon existing value imputation methods in the several ways. (1) By judiciously integr...