782 search results - page 59 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
128
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BMCBI
2008
15 years 3 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...
119
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IJCSA
2007
15 years 3 months ago
2007
This paper discusses different approaches for integrating biological knowledge in gene expression analysis. Indeed we are interested in the fifth step of microarray analysis pro...
154
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BIOCOMP
2007
15 years 4 months ago
2007
The growing body of DNA microarray data has the potential to advance our understanding of the molecular basis of disease. However annotating microarray datasets with clinically us...
124
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BMCBI
2008
15 years 3 months ago
2008
Background: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method ...
121
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BMCBI
2008
15 years 3 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 ...