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» Distinctive and compact features
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BMCBI
2007
117views more  BMCBI 2007»
13 years 10 months ago
Meta-analysis of several gene lists for distinct types of cancer: A simple way to reveal common prognostic markers
Background: Although prognostic biomarkers specific for particular cancers have been discovered, microarray analysis of gene expression profiles, supported by integrative analysis...
Xinan Yang, Xiao Sun
BMCBI
2002
195views more  BMCBI 2002»
13 years 9 months ago
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...
CIARP
2010
Springer
13 years 8 months ago
Improving the Dynamic Hierarchical Compact Clustering Algorithm by Using Feature Selection
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...
Reynaldo Gil-García, Aurora Pons-Porrata
CSMR
2005
IEEE
14 years 3 months ago
Correlating Features and Code Using a Compact Two-Sided Trace Analysis Approach
Software developers are constantly required to modify and adapt application features in response to changing requirements. The problem is that just by reading the source code, it ...
Orla Greevy, Stéphane Ducasse
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
14 years 1 months ago
Selecting Features by Vertical Compactness of Data
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
Ke Wang, Suman Sundaresh