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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 11 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 10 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 4 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 11 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 9 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