Biological Pathway Extension Using Microarray Gene Expression Data
Genomics & Informatics
; : 202-209, 2008.
Article
in En
| WPRIM
| ID: wpr-203273
Responsible library:
WPRO
ABSTRACT
Biological pathways are known as collections of knowledge of certain biological processes. Although knowledge about a pathway is quite significant to further analysis, it covers only tiny portion of genes that exists. In this paper, we suggest a model to extend each individual pathway using a microarray expression data based on the known knowledge about the pathway. We take the Rosetta compendium dataset to extend pathways of Saccharomyces cerevisiae obtained from KEGG (Kyoto Encyclopedia of genes and genomes) database. Before applying our model, we verify the underlying assumption that microarray data reflect the interactive knowledge from pathway, and we evaluate our scoring system by introducing performance function. In the last step, we validate proposed candidates with the help of another type of biological information. We introduced a pathway extending model using its intrinsic structure and microarray expression data. The model provides the suitable candidate genes for each single biological pathway to extend it.
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Full text:
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Index:
WPRIM
Main subject:
Saccharomyces cerevisiae
/
Biological Phenomena
/
Gene Expression
Language:
En
Journal:
Genomics & Informatics
Year:
2008
Type:
Article