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» Knowledge-Based Sampling for Subgroup Discovery
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DAGSTUHL
2004
14 years 11 months ago
Knowledge-Based Sampling for Subgroup Discovery
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Martin Scholz
BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
14 years 10 months ago
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Claudio Lottaz, Joern Toedling, Rainer Spang
BMCBI
2010
175views more  BMCBI 2010»
14 years 10 months ago
Saliva Ontology: An ontology-based framework for a Salivaomics Knowledge Base
Background: The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information ...
Jiye Ai, Barry Smith, Wong T. David
TSMC
2008
136views more  TSMC 2008»
14 years 10 months ago
Learning Relational Descriptions of Differentially Expressed Gene Groups
Abstract-- This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to find compactly described groups of genes differen...
Igor Trajkovski, Filip Zelezný, Nada Lavrac...