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Open Access Methodology article

Biclustering for the comprehensive search of correlated gene expression patterns using clustered seed expansion

Taegyun Yun1 and Gwan-Su Yi12*

Author Affiliations

1 Department of Information and Communications Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea

2 Department of Bio and Brain Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea

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BMC Genomics 2013, 14:144  doi:10.1186/1471-2164-14-144

Published: 5 March 2013

Additional files

Additional file 1: Table S1:

Summary statistics of remaining biclusters dataset after removing overlapped biclusters by varying the overlap level for the yeast stress in each biclustering algorithm. Figure S1. The number of significantly enriched biological terms for thee biclustering algorithms in four functional categories on various significance levels. (a) GO Biological Process, (b) GO Cellular Component, (c) GO Molecular Function, (d) KEGG Pathway.

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