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» Predicting Gene Function from Gene Expressions and Ontologie...
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TSMC
2008
136views more  TSMC 2008»
13 years 7 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...
BMCBI
2008
137views more  BMCBI 2008»
13 years 7 months ago
VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays
Background: Microarray experiments generate vast amounts of data. The functional context of differentially expressed genes can be assessed by querying the Gene Ontology (GO) datab...
Hans A. Kestler, André Müller, Johann ...
BMCBI
2008
126views more  BMCBI 2008»
13 years 7 months ago
GeneChaser: Identifying all biological and clinical conditions in which genes of interest are differentially expressed
Background: The amount of gene expression data in the public repositories, such as NCBI Gene Expression Omnibus (GEO) has grown exponentially, and provides a gold mine for bioinfo...
Rong Chen, Rohan Mallelwar, Ajit Thosar, Shivkumar...
PRL
2007
98views more  PRL 2007»
13 years 7 months ago
Error probabilities for local extrema in gene expression data
Current approaches for the prediction of functional relations from gene expression data often do not have a clear methodology for extracting features and are not accompanied by a ...
Perry Groot, Christian Gilissen, Michael Egmont-Pe...
NAR
2002
132views more  NAR 2002»
13 years 7 months ago
euGenes: a eukaryote genome information system
euGenes is a genome information system and database that provides a common summary of eukaryote genes and genomes, at web site http://iubio.bio.indiana.edu/eugenes/. Seven popular...
Donald G. Gilbert