Multisource biological pathway consolidation

Author

Doderer, Mark S. ; Anguiano, Zachry ; Suresh, Uthra ; Dashnamoorthy, Ravi ; Bishop, Alexander J R ; Chen, Yidong

Author_Institution

Greehey Children´´s Cancer Res. Inst., Univ. of Texas Health Sci. Center at San Antonio, San Antonio, TX, USA

fYear

2011

fDate

4-6 Dec. 2011

Firstpage

74

Lastpage

77

Abstract

A typical method to discover phenotypic descriptions of an ordered set of differential gene expressions is to identify pathway enrichments. There are many pathways that are highly related or maybe redundant across different databases making their consolidation an essential step when interpreting these results. Two methods of pathway consolidation are explored, one utilizes the gene set of the most enriched pathway to find similar pathways also enriched in a given experiment. The other method uses only the gene members in each pathway, this finds de novo pathway clusters independent of any given experiment. Unique consolidation results from both methods are presented, demonstrating their applications in biological studies.

Keywords

bioinformatics; biological techniques; genetics; pattern clustering; de novo pathway clusters; differential gene expression; multisource biological pathway consolidation; pathway enrichment identification; phenotypic description discovery method; Gene expression; Genomics; Heating; Humans; Ontologies; Proteins; clustering; gene sets; gene-expression; pathway;

fLanguage

English

Publisher

ieee

Conference_Titel

Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on

Conference_Location

San Antonio, TX

ISSN

2150-3001

Print_ISBN

978-1-4673-0491-7

Electronic_ISBN

2150-3001

Type

conf

DOI

10.1109/GENSiPS.2011.6169447

Filename

6169447