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» Microarray Gene Expression Data Analysis
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ISMIS
2005
Springer
15 years 8 months ago
Towards Ad-Hoc Rule Semantics for Gene Expression Data
The notion of rules is very popular and appears in different flavors, for example as association rules in data mining or as functional (or multivalued) dependencies in databases. ...
Marie Agier, Jean-Marc Petit, Einoshin Suzuki
ISBRA
2007
Springer
15 years 8 months ago
A Bootstrap Correspondence Analysis for Factorial Microarray Experiments with Replications
Characterized by simultaneous measurement of the effects of experimental factors and their interactions, the economic and efficient factorial design is well accepted in microarray ...
Qihua Tan, Jesper Dahlgaard, Basem M. Abdallah, We...
110
Voted
BMCBI
2010
94views more  BMCBI 2010»
15 years 2 months ago
Comparison study of microarray meta-analysis methods
Background: Meta-analysis methods exist for combining multiple microarray datasets. However, there are a wide range of issues associated with microarray meta-analysis and a limite...
Anna Campain, Yee Hwa Yang
134
Voted
BMCBI
2004
181views more  BMCBI 2004»
15 years 2 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
124
Voted
BMCBI
2004
113views more  BMCBI 2004»
15 years 2 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...