Title : ( Bayesian Variable Selection Of Pathway Gene Sets Applied To Gene Expression Microarray Data )
Authors: A. Skarman , Mohammad Mahdi Shariati , P. Sørensen ,
Full TextAbstract
For some diseases or other phenotypes it is not only interesting to identify which genes are involved but also to find the involved processes or pathways. This is often done using sets of genes such as genetic pathways found in KEGG: Kyoto Encyclopedia of Genes and Genomes (Kanehisa, M., and Goto, S. (2000)). Typically a gene set analysis is performed, for example using methods like the gene set enrichment analysis (Mootha, V.K, Lindgren C.M., and Eriksson K.F. et al. (2003) Subramaniana, A., Tamayoa, P., and Moothaa, V.K. et al. (2005)).
Keywords
, Bayesian Variable, Gene Expression, Microarray
@inproceedings{paperid:1033175,
author = {A. Skarman and Shariati, Mohammad Mahdi and P. Sørensen},
title = {Bayesian Variable Selection Of Pathway Gene Sets Applied To Gene Expression Microarray Data},
booktitle = {9th World Congress on Genetics Applied to Livestock Production},
year = {2010},
location = {Leipzig, GERMANY},
keywords = {Bayesian Variable; Gene Expression; Microarray},
}
%0 Conference Proceedings
%T Bayesian Variable Selection Of Pathway Gene Sets Applied To Gene Expression Microarray Data
%A A. Skarman
%A Shariati, Mohammad Mahdi
%A P. Sørensen
%J 9th World Congress on Genetics Applied to Livestock Production
%D 2010
