Cross-genome knowledge-based expression data fusion

Matěj Holec, Jiří Kléma, Filip Železný, Jiří Bělohradský, Jakub Tolar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper presents the web tool XGENE.ORG which facilitates the integration of gene expression measurements with background genomic information, in particular the gene ontology and KEGG pathways. The novelty of the proposed data fusion is in the introduction of working units at different levels of generality acting as sample features, replacing the commonly used gene units, consequently allowing for cross-genome (multi-platform) expression data analysis. The integration of different microarray platforms contributes to the robustness of knowledge extracted when single-platform samples are rare and facilitates inference of biological knowledge not constrained to single organisms. Copyright

Original languageEnglish (US)
Title of host publicationInternational Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics 2009, BCBGC 2009
Pages43-50
Number of pages8
StatePublished - Dec 1 2009
Event2009 International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics, BCBGC 2009 - Orlando, FL, United States
Duration: Jul 13 2009Jul 16 2009

Publication series

NameInternational Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics 2009, BCBGC 2009

Other

Other2009 International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics, BCBGC 2009
CountryUnited States
CityOrlando, FL
Period7/13/097/16/09

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