Title
Interpreting Gene Expression Data by Searching for Enriched Gene Sets
Abstract
This paper presents a novel method integrating gene-gene interaction information and Gene Ontology (GO) for the construction of new gene sets that are potentially enriched. Enrichment of a gene set is determined by Gene Set Enrichment Analysis. The experimental results show that the introduced method improves over existing methods, i.e. that it is capable to find new descriptions of the biology governing the experiments, not detectable by the traditional methods of evaluating the enrichment of predefined gene sets, defined by a single GO term.
Year
DOI
Venue
2007
10.1007/978-3-540-73599-1_16
AIME '87
Keywords
Field
DocType
traditional method,gene-gene interaction information,gene ontology,novel method,enriched gene sets,new description,interpreting gene expression data,gene set enrichment analysis,gene set,predefined gene set,new gene set,microarray data analysis,microarray data
Data mining,Gene,Gene ontology,Computer science,Gene expression,Chromosomal part,Microarray analysis techniques,Interaction information,Microarray databases,Gene expression profiling
Conference
Volume
ISSN
Citations 
4594
0302-9743
1
PageRank 
References 
Authors
0.35
5
2
Name
Order
Citations
PageRank
Igor Trajkovski1545.84
Nada Lavrač298972.19