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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2004
113views more  BMCBI 2004»
13 years 11 months ago
Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering
Background: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray dat...
Alexandre G. de Brevern, Serge A. Hazout, Alain Ma...
BMCBI
2007
152views more  BMCBI 2007»
13 years 11 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
ICANN
2009
Springer
13 years 8 months ago
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
André C. A. Nascimento, Ricardo Bastos Cava...
VLDB
1998
ACM
102views Database» more  VLDB 1998»
14 years 3 months ago
Using Schema Matching to Simplify Heterogeneous Data Translation
A broad spectrum of data is available on the Web in distinct heterogeneous sources, and stored under different formats. As the number of systems that utilize this heterogeneous da...
Tova Milo, Sagit Zohar
BMCBI
2005
107views more  BMCBI 2005»
13 years 11 months ago
A stepwise framework for the normalization of array CGH data
Background: In two-channel competitive genomic hybridization microarray experiments, the ratio of the two fluorescent signal intensities at each spot on the microarray is commonly...
Mehrnoush Khojasteh, Wan L. Lam, Rabab Kreidieh Wa...