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Finding Association Between Genes by Applying Filtering Mechanism on Microarray Dataset

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Advances in Computing and Data Sciences (ICACDS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 906))

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Abstract

Data mining is a new powerful technology for extracting hidden predictive information from large databases. Considering severity of diseases like cancer, a systematic approach for learning and extracting rule-based knowledge from biological database is needed. Genes are playing important part in the understanding etiology of cancer. Ample amount of gene expressions are available in terms of microarray to carry out research in this area. In data mining, association rules are useful for analyzing and predicting gene expressions. The aim of this paper is to find strong association between genes as a part of preprocessing technique for classification. The resulting association between genes help to classify them into cancer and non-cancer class. The outcomes of this work is helpful in early diagnosis of disease and to plan proper therapeutic strategy.

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Author information

Authors and Affiliations

  1. Department Computer Science and Engineering, Yeshwantrao College of Engineering, Nagpur, India

    Gauri Bhanegaonkar & Rakhi Wajgi

  2. Computer Science and Engineering, SVPCE, Nagpur, India

    Dipak Wajg

Authors
  1. Gauri Bhanegaonkar
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  2. Rakhi Wajgi
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  3. Dipak Wajg
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Corresponding author

Correspondence to Gauri Bhanegaonkar .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Information Technology, Solan, India

    P. K. Gupta

  3. Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. Institute of Information Theory and Automation, Prague 8, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, Canada

    Tuncer Ören

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Bhanegaonkar, G., Wajgi, R., Wajg, D. (2018). Finding Association Between Genes by Applying Filtering Mechanism on Microarray Dataset. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 906. Springer, Singapore. https://doi.org/10.1007/978-981-13-1813-9_47

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  • DOI: https://doi.org/10.1007/978-981-13-1813-9_47

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1812-2

  • Online ISBN: 978-981-13-1813-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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