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» Constrained Co-clustering of Gene Expression Data
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SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
13 years 8 months ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
KDD
2004
ACM
108views Data Mining» more  KDD 2004»
14 years 7 months ago
Sleeved coclustering
A coCluster of a m?n matrix X is a submatrix determined by a subset of the rows and a subset of the columns. The problem of finding coClusters with specific properties is of inter...
Avraham A. Melkman, Eran Shaham
ISBRA
2009
Springer
14 years 2 months ago
Integrating Multiple-Platform Expression Data through Gene Set Features
Abstract. We demonstrate a set-level approach to the integration of multiple platform gene expression data for predictive classification and show its utility for boosting classi...
Matej Holec, Filip Zelezný, Jirí Kl&...
SDM
2008
SIAM
123views Data Mining» more  SDM 2008»
13 years 8 months ago
Constrained Co-clustering of Gene Expression Data
In many applications, the expert interpretation of coclustering is easier than for mono-dimensional clustering. Co-clustering aims at computing a bi-partition that is a collection...
Ruggero G. Pensa, Jean-François Boulicaut
BMCBI
2004
139views more  BMCBI 2004»
13 years 7 months ago
Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels an
Background: The detection of small yet statistically significant differences in gene expression in spotted DNA microarray studies is an ongoing challenge. Meeting this challenge r...
Jeffrey P. Townsend