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TDAC: Co-Expressed Gene Pattern Finding Using Attribute Clustering

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Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 236))

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Abstract

An effective unsupervised method (TDAC) is proposed for identification of biologically relevant co-expressed patterns. Effectiveness of TDAC is established in comparison to its other competing algorithms over four publicly available benchmark gene expression datasets in terms of both internal and external validity measures.

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Author information

Authors and Affiliations

  1. Tezpur University, Napaam, Assam, 784028, India

    Tahleen A Rahman & Dhruba K Bhattacharyya

Authors
  1. Tahleen A Rahman
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  2. Dhruba K Bhattacharyya
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Corresponding author

Correspondence to Tahleen A Rahman .

Editor information

Editors and Affiliations

  1. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    B. V. Babu

  2. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  5. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  6. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Kanad Ray

  7. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Umesh Gupta

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Rahman, T., Bhattacharyya, D. (2014). TDAC: Co-Expressed Gene Pattern Finding Using Attribute Clustering. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_64

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  • DOI: https://doi.org/10.1007/978-81-322-1602-5_64

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1601-8

  • Online ISBN: 978-81-322-1602-5

  • eBook Packages: EngineeringEngineering (R0)

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