Sciweavers

125 search results - page 12 / 25
» Mining Spatial Gene Expression Data for Association Rules
Sort
View
SDM
2008
SIAM
123views Data Mining» more  SDM 2008»
15 years 1 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
98
Voted
ICONIP
2009
14 years 9 months ago
Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules
Decision Tree Induction (DTI), one of the Data Mining classification methods, is used in this research for predictive problem solving in analyzing patient medical track records. In...
Rolly Intan, Oviliani Yenty Yuliana
BMCBI
2010
127views more  BMCBI 2010»
14 years 11 months ago
SplicerAV: a tool for mining microarray expression data for changes in RNA processing
Background: Over the past two decades more than fifty thousand unique clinical and biological samples have been assayed using the Affymetrix HG-U133 and HG-U95 GeneChip microarray...
Timothy J. Robinson, Michaela A. Dinan, Mark Dewhi...
BMCBI
2006
170views more  BMCBI 2006»
14 years 11 months ago
Biclustering of gene expression data by non-smooth non-negative matrix factorization
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
IEAAIE
2005
Springer
15 years 5 months ago
Mining Generalized Association Rules on Biomedical Literature
The discovery of new and potentially meaningful relationships between concepts in the biomedical literature has attracted the attention of a lot of researchers in text mining. The ...
Margherita Berardi, Michele Lapi, Pietro Leo, Corr...