Clustered Heatmaps

Clustered Heatmaps is a data visualization technique that integrates hierarchical clustering algorithms to organize and display the rows and columns of a heatmap matrix according to similarity patterns, thereby revealing underlying structure in high-dimensional data.

27

Publications

2.9K

Citations

111

Authors

51

Institutions

Publications per year

2017–2026

15

Variants

Clustered Heat Map

Authors

111

  1. JM
    James Melott

    The University of Texas MD Anderson Cancer Center, United States

    3 publications · 186 citations

    3

    h-index

  2. BM
    Bradley M. Broom

    The University of Texas MD Anderson Cancer Center, United States

    3 publications · 186 citations

    3

    h-index

  3. JN
    John N. Weinstein

    National Cancer Institute, United States

    3 publications · 186 citations

    3

    h-index

  4. CW
    Chris Wakefield

    The University of Texas MD Anderson Cancer Center, United States

    3 publications · 186 citations

    3

    h-index

  5. MR
    Michaël Ryan

    In Silico Biosciences (United States), United States

    3 publications · 186 citations

    3

    h-index

1–5 of 111

Venues

  1. BMC Bioinformatics

    3 publications · 184 citations

    3

    h-index

  2. F1000Research

    2 publications · 140 citations

    2

    h-index

  3. Computers Environment and Urban Systems

    1 publications · 15 citations

    1

    h-index

  4. Environmental Engineering Research

    1 publications · 14 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 720 citations

    1

    h-index

1–5