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» Mining Gene Expression Data using Domain Knowledge
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GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 3 months ago
Clustering gene expression data via mining ensembles of classification rules evolved using moses
Moshe Looks, Ben Goertzel, Lúcio de Souza C...
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
15 years 10 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
BIODATAMINING
2008
130views more  BIODATAMINING 2008»
14 years 9 months ago
Uncovering mechanisms of transcriptional regulations by systematic mining of cis regulatory elements with gene expression profil
Background: Contrary to the traditional biology approach, where the expression patterns of a handful of genes are studied at a time, microarray experiments enable biologists to st...
Qicheng Ma, Gung-Wei Chirn, Joseph D. Szustakowski...
85
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BMCBI
2007
176views more  BMCBI 2007»
14 years 9 months ago
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
Marc Strickert, Nese Sreenivasulu, Björn Usad...
FUIN
2007
109views more  FUIN 2007»
14 years 9 months ago
Unifying Framework for Rule Semantics: Application to Gene Expression Data
Abstract. The notion of rules is very popular and appears in different flavors, for example as association rules in data mining or as functional dependencies in databases. Their s...
Marie Agier, Jean-Marc Petit, Einoshin Suzuki