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Missing Value Imputation Using Correlation Coefficient

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Computational Intelligence in Pattern Recognition

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1120))

Abstract

Missing values of microarray dataset are imputed with the help of gene expression sample values. The process by which missing values are calculated is the mean of gene expression sample values and then discretized the sample values. Those discretized values are used to find the similarities between gene expressions with missing value-related genes and genes with no missing values. The gene from without missing values which is most similar of each missing value-related gene is selected, and Pearson’s correlation coefficient of the identified gene with all no missing value-related genes is calculated. Now, the genes which have higher correlation coefficient with respect to a threshold value are identified. At last, the missing position of the gene is imputed with the mean expression values of the no missing value-related genes which are selected based on correlation coefficient values.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Nadia, West Bengal, India

    Sweta Manna

  2. Department of Bioinformatics, Maulana Abul Kalam Azad University of Technology, Nadia, West Bengal, India

    Soumen Kumar Pati

Authors
  1. Sweta Manna
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  2. Soumen Kumar Pati
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Howrah, West Bengal, India

    Asit Kumar Das

  2. Department of Computer Science and Engineering, Aditya Institute of Technology and Management (AITAM), Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

  3. Department of Computer Applications, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Bighnaraj Naik

  4. Department of Computer Science and Application, Institute of Engineering and Management (IEM), Kolkata, West Bengal, India

    Soumi Dutta

  5. Faculty of Communication Sciences, University of Teramo, Teramo, Italy

    Danilo Pelusi

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Manna, S., Pati, S.K. (2020). Missing Value Imputation Using Correlation Coefficient. In: Das, A., Nayak, J., Naik, B., Dutta, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 1120. Springer, Singapore. https://doi.org/10.1007/978-981-15-2449-3_47

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