Correlation Measure Selection

Correlation Measure Selection is the methodological process of identifying and justifying a specific statistical correlation measure—such as Pearson, Spearman, or mutual information—based on the data characteristics and network inference goals within gene coexpression analysis.

41

Publications

2.1K

Citations

124

Authors

64

Institutions

Publications per year

2017–2026

18

Authors

124

  1. HG
    Harish Garg

    Thapar Institute of Engineering & Technology, India

    2 publications · 263 citations

    2

    h-index

  2. PA
    Paul Augustine Ejegwa

    Joseph Sarwuan Tarka University Makurdi, Nigeria

    2 publications · 37 citations

    2

    h-index

  3. YN
    Yedidia Neumeier

    Georgia Institute of Technology, United States

    2 publications · 67 citations

    2

    h-index

  4. JV
    J. V. R. Prasad

    Georgia Institute of Technology, United States

    2 publications · 67 citations

    2

    h-index

  5. MD
    Manuj Dhingra

    Georgia Institute of Technology, United States

    2 publications · 67 citations

    2

    h-index

1–5 of 124

Venues

  1. Neurocomputing

    3 publications · 410 citations

    3

    h-index

  2. 2

    h-index

  3. Educational Data Mining

    Conference · 1 publications · 15 citations

    1

    h-index

  4. 1

    h-index

  5. Information Sciences

    1 publications · 72 citations

    1

    h-index

1–5