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» Evaluation of clustering algorithms for gene expression data
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RECOMB
2003
Springer
16 years 6 months ago
Joint classifier and feature optimization for cancer diagnosis using gene expression data
Recent research has demonstrated quite convincingly that accurate cancer diagnosis can be achieved by constructing classifiers that are designed to compare the gene expression pro...
Balaji Krishnapuram, Lawrence Carin, Alexander J. ...
RECOMB
2009
Springer
16 years 27 days ago
Inferring the Recent Duplication History of a Gene Cluster
Abstract. Much important evolutionary activity occurs in gene clusters, where a copy of a gene may be free to evolve new functions. Computational methods to extract evolutionary in...
Giltae Song, Louxin Zhang, Tomás Vinar, Web...
166
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BMCBI
2008
124views more  BMCBI 2008»
15 years 6 months ago
Literature-aided meta-analysis of microarray data: a compendium study on muscle development and disease
Background: Comparative analysis of expression microarray studies is difficult due to the large influence of technical factors on experimental outcome. Still, the identified diffe...
Rob Jelier, Peter A. C. 't Hoen, Ellen Sterrenburg...
BMCBI
2006
120views more  BMCBI 2006»
15 years 6 months ago
A factor analysis model for functional genomics
Background: Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While b...
Rafal Kustra, Romy Shioda, Mu Zhu
JMLR
2006
96views more  JMLR 2006»
15 years 6 months ago
Rearrangement Clustering: Pitfalls, Remedies, and Applications
Given a matrix of values in which the rows correspond to objects and the columns correspond to features of the objects, rearrangement clustering is the problem of rearranging the ...
Sharlee Climer, Weixiong Zhang