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This article is part of the supplement: Eighth International Conference on Bioinformatics (InCoB2009): Computational Biology

Open Access Proceedings

Improving gene expression similarity measurement using pathway-based analytic dimension

Changwon Keum1, Jung Hoon Woo2, Won Seok Oh1, Sue-Nie Park4 and Kyoung Tai No13*

Author Affiliations

1 Bioinformatics & Molecular Design Research Center (BMDRC), Seoul, Korea

2 Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Korea

3 Dept. of Biotechnology, Yonsei University, Seoul, Korea

4 Division of Genetic Toxicology, National Institute of Toxicological Research, Korea Food and Drug Administration, Seoul, Korea

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BMC Genomics 2009, 10(Suppl 3):S15  doi:10.1186/1471-2164-10-S3-S15

Published: 3 December 2009

Additional files

Additional file 1:

Dataset detail for cell type classification. All 442 gene expression profiles used for cell type classification are listed with detailed information. Each gene expression profile is annotated with three original GEO accession id, sample id(GSM), experiment id(GSE) and platform id(GPL), and cell type.

Format: TXT Size: 15KB Download file

Open Data