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ECCB
2005
IEEE
13 years 7 months ago
Analyzing microarray data using quantitative association rules
Elisabeth Georgii, Lothar Richter, Ulrich Rüc...
DSS
2007
127views more  DSS 2007»
13 years 5 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
PAKDD
1999
ACM
149views Data Mining» more  PAKDD 1999»
13 years 9 months ago
An Analysis of Quantitative Measures Associated with Rules
In this paper, we analyze quantitative measures associated with if-then type rules. Basic quantities are identified and many existing measures are examined using the basic quantit...
Yiyu Yao, Ning Zhong
KDD
2002
ACM
145views Data Mining» more  KDD 2002»
14 years 5 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
BMCBI
2006
130views more  BMCBI 2006»
13 years 5 months ago
CARMA: A platform for analyzing microarray datasets that incorporate replicate measures
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
Kevin A. Greer, Matthew R. McReynolds, Heddwen L. ...