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Extraction of Optimal Biclusters from Gene Expression Data

  • Conference paper
Information and Communication Technologies (ICT 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 101))

Abstract

Biclustering is a data mining technique which allows simultaneous clustering of the rows and columns of a matrix. In this paper, MAXimal BICluster algorithm (MAXBIC) identifies coherent biclusters of maximum size with high Average Spearman Rho (ASR). This proposed query based algorithm includes three steps viz. three tier pre-processing, identifying a bicluster seed and growing the seed till an optimal bicluster is obtained. Experimental results show the effectiveness of the proposed algorithm.

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References

  1. Bagyamani, J., Thangavel, K.: SIMBIC: similarity based biclustering of expression data. Information Processing and management 70, 437–441 (2010)

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Author information

Authors and Affiliations

  1. Department of Computer Science, Government Arts College, Dharmapuri, 636 705, TamilNadu, India

    J. Bagyamani

  2. Department of Computer Science, Periyar University, Salem, 636 011, TamilNadu, India

    K. Thangavel & R. Rathipriya

Authors
  1. J. Bagyamani
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  2. K. Thangavel
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  3. R. Rathipriya
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Editor information

Editors and Affiliations

  1. Engineers Network, Trivandrum, Kerala, India

    Vinu V Das

  2. NSS College of Engineering, Palakkadu, India

    R. Vijaykumar

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© 2010 Springer-Verlag Berlin Heidelberg

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Bagyamani, J., Thangavel, K., Rathipriya, R. (2010). Extraction of Optimal Biclusters from Gene Expression Data. In: Das, V.V., Vijaykumar, R. (eds) Information and Communication Technologies. ICT 2010. Communications in Computer and Information Science, vol 101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15766-0_59

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  • DOI: https://doi.org/10.1007/978-3-642-15766-0_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15765-3

  • Online ISBN: 978-3-642-15766-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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