DocumentCode :
3542557
Title :
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
Link To Document :
بازگشت