Pathway Clustering Visualization

Pathway Clustering Visualization is a methodological framework within computational biology that integrates cluster analysis with graphical representation techniques to organize and display biological pathways based on functional, structural, or contextual similarities, thereby enabling the identification of higher-order patterns and relationships among pathways.

6

Publications

780

Citations

22

Authors

17

Institutions

Publications per year

2017–2026

2

Authors

22

  1. CB
    Carlos Bobis-Álvarez

    Fraunhofer Institute for Algorithms and Scientific Computing, Germany

    2 publications · 87 citations

    2

    h-index

  2. RB
    Romain Bourqui

    Laboratoire Bordelais de Recherche en Informatique, France

    2 publications · 56 citations

    2

    h-index

  3. JM
    Josep Marín-Llaó

    Fraunhofer Institute for Algorithms and Scientific Computing, Germany

    2 publications · 87 citations

    2

    h-index

  4. MH
    Martin Hofmann‐Apitius

    Fraunhofer Institute for Algorithms and Scientific Computing, Germany

    2 publications · 87 citations

    2

    h-index

  5. CT
    Charles Tapley Hoyt

    University of Bonn, Germany

    2 publications · 87 citations

    2

    h-index

1–5 of 22

Venues

  1. BMC Systems Biology

    1 publications · 45 citations

    1

    h-index

  2. 2012 16th International Conference on Information Visualisation

    Conference · 1 publications · 11 citations

    1

    h-index

  3. Nature Protocols

    1 publications · 108 citations

    1

    h-index

  4. BMC Bioinformatics

    1 publications · 529 citations

    1

    h-index

  5. npj Systems Biology and Applications

    1 publications · 76 citations

    1

    h-index

1–5