9P-E-6 Query-based Weighted Fuzzy Biclustering for Microarray Data Analysis(Room E International session)

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概要

• 論文の詳細を見る

• Biclustering is an important analysis method on gene expression data. However, few biclustering methods provided a query-based approach for biologists to search the biclusters which contain a certain gene of interest. In this paper, we proposed a generalized fuzzy-based approach, namely Weighted Fuzzy-based Maximum Similarity Biclustering (WF-MSB), for extracting a query-based bicluster based on the user-defined reference gene. A fuzzy-based similarity measurement and condition weighting approach are used to extract significant most similar and most dissimilar biclusters to the reference gene in expression levels. The proposed WF-MSB method was evaluated in comparison with MSBE on a real yeast microarray data, and the results show that WF-MSB can effectively find the biclusters with significant GO-basedfunctional meanings.

• 2010-10-09

著者

• Yu Philip

  Department Of Computer Science University Of Illinois

• Chen Lien-Chin

  Institute of Information Science, Academia Sinica

• Tseng Vincent

  Department of Computer Science and Information Engineering National Cheng Kung University

• Tseng Vincent

  Department Of Computer Science And Information Engineering National Cheng Kung University:institute

• Chen Lien-chin

  Institute Of Information Science Academia Sinica

関連論文

• 9P-E-6 Query-based Weighted Fuzzy Biclustering for Microarray Data Analysis(Room E International session)
• Adjusting Correlation Matrices Via a Bayesian Approach(Session 6C(IASC-ARS))

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