by Holger Fröhlich, Nora Speer, Annemarie Poustka, Tim Beissbarth
Abstract:
With the increased availability of high throughput data, such as DNA microarray data, researchers are capable of producing large amounts of biological data. During the analysis of such data often there is the need to further explore the similarity of genes not only with respect to their expression, but also with respect to their functional annotation which can be obtained from Gene Ontology (GO).
Reference:
GOSim--an R-package for computation of information theoretic GO similarities between terms and gene products. (Holger Fröhlich, Nora Speer, Annemarie Poustka, Tim Beissbarth), In BMC Bioinformatics, volume 8, 2007.
Bibtex Entry:
@article{Frohlich2007,
abstract = {With the increased availability of high throughput data, such as DNA microarray data, researchers are capable of producing large amounts of biological data. During the analysis of such data often there is the need to further explore the similarity of genes not only with respect to their expression, but also with respect to their functional annotation which can be obtained from Gene Ontology (GO).},
author = {Fr\"{o}hlich, Holger and Speer, Nora and Poustka, Annemarie and Beissbarth, Tim},
doi = {10.1186/1471-2105-8-166},
issn = {1471-2105},
journal = {BMC Bioinformatics},
keywords = {Base Sequence,Data Interpretation, Statistical,Databases, Genetic,Information Storage and Retrieval,Information Storage and Retrieval: methods,Molecular Sequence Data,Programming Languages,Reproducibility of Results,SML-LIB-BIBLIO,Sensitivity and Specificity,Sequence Analysis, DNA,Sequence Analysis, DNA: methods,Software,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
month = jan,
pages = {166},
pmid = {17519018},
title = {{GOSim--an R-package for computation of information theoretic GO similarities between terms and gene products.}},
url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1892785\&tool=pmcentrez\&rendertype=abstract},
volume = {8},
year = {2007}
}