A FC-GSEA Approach to Identify Significant Gene-Sets Using Microarray Gene Expression Data - Advances in Computational Science and Engineering - page 127

5 Discussions
In this paper we investigated FC-GSEA method which employs Fisher's criterion for
gene ranking in the gene set enrichment analysis and studied its applicability and
usefulness via experiments on Golub's Leukemia datasets. As expected, our experi-
ment results showed that the use of Fisher's criterion for gene ranking enables us to
identify biologically significant pathways more extensively than original-GSEA ap-
proach employing SNR-based gene ranking, even if it is only one case. As future
works, it seems to be worthwhile to perform further detailed and extensive analyses
with FC-GSEA in a variety of contexts.
Acknowledgments. This work was supported by the Korea Science and Engineering
Foundation (KOSEF) grant funded by the Korea government (MEST) (No. R01-
2008-000-11089-0), and supported by the Korea Research Foundation Grant funded
by the Korean Government (MOEHRD) (KRF-2008-331-D00558).
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