782 search results - page 67 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
127
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BMCBI
2005
15 years 3 months ago
2005
Background: High throughput methods of the genome era produce vast amounts of data in the form of gene lists. These lists are large and difficult to interpret without advanced com...
131
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BMCBI
2004
15 years 3 months ago
2004
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
174
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APBC
2004
15 years 4 months ago
2004
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
126
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BMCBI
2008
15 years 3 months ago
2008
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
119
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BMCBI
2007
15 years 3 months ago
2007
Background: High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes potentially relevant to the process under study, rendering the interpr...