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» Algorithms for Finding Gene Clusters
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BMCBI
2007
143views more  BMCBI 2007»
15 years 2 months ago
Gene selection for classification of microarray data based on the Bayes error
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
Ji-Gang Zhang, Hong-Wen Deng
CSDA
2008
128views more  CSDA 2008»
15 years 2 months ago
Assessing agreement of clustering methods with gene expression microarray data
In the rapidly evolving field of genomics, many clustering and classification methods have been developed and employed to explore patterns in gene expression data. Biologists face...
Xueli Liu, Sheng-Chien Lee, George Casella, Gary F...
PR
2008
88views more  PR 2008»
15 years 2 months ago
Modified global k
Clustering in gene expression data sets is a challenging problem. Different algorithms for clustering of genes have been proposed. However due to the large number of genes only a ...
Adil M. Bagirov
113
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BIBE
2004
IEEE
120views Bioinformatics» more  BIBE 2004»
15 years 6 months ago
Identifying Projected Clusters from Gene Expression Profiles
In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to ...
Kevin Y. Yip, David W. Cheung, Michael K. Ng, Kei-...
BMCBI
2005
86views more  BMCBI 2005»
15 years 2 months ago
Chromosomal clustering of a human transcriptome reveals regulatory background
Background: There has been much evidence recently for a link between transcriptional regulation and chromosomal gene order, but the relationship between genomic organization, regu...
Jan H. Vogel, Anja von Heydebreck, Antje Purmann, ...