1674 search results - page 93 / 335 » Evaluation of clustering algorithms for gene expression data |
134
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BMCBI
2006
15 years 6 months ago
2006
Background: The Thymidine kinase (Tk) mutants generated from the widely used L5178Y mouse lymphoma assay fall into two categories, small colony and large colony. Cells from the la...
193
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TCBB
2010
15 years 4 months ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
164
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EVOW
2005
Springer
15 years 11 months ago
2005
Springer
In this work, we address the biclustering of gene expression data with evolutionary computation, which has been proven to have excellent performance on complex problems. In express...
220
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ACIIDS
2010
IEEE
15 years 4 months ago
2010
IEEE
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
167
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BMCBI
2006
15 years 6 months ago
2006
Background: Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray me...