Hierarchical Integration Models

Hierarchical Integration Models is a computational framework in transcriptomics integration that organizes multi-level biological data in a tiered structure, distinguishing itself by sequentially integrating information across molecular layers to capture dependencies from gene expression to higher-order regulatory mechanisms.

67

Publications

3.5K

Citations

187

Authors

113

Institutions

Publications per year

2017–2026

20

Authors

187

  1. JJ
    Jordan J. Louviere

    University of Technology Sydney, Australia

    4 publications · 256 citations

    4

    h-index

  2. HT
    Harry Timmermans

    Eindhoven University of Technology, Netherlands

    4 publications · 153 citations

    4

    h-index

  3. HO
    Harmen Oppewal

    Monash University, Australia

    4 publications · 212 citations

    4

    h-index

  4. JB
    Juan Buhler

    Stanford University, United States

    3 publications · 401 citations

    3

    h-index

  5. HW
    Henrik Wann Jensen

    University of California San Diego, United States

    3 publications · 401 citations

    3

    h-index

1–5 of 187

Venues

  1. Environment and Planning A Economy and Space

    3 publications · 76 citations

    3

    h-index

  2. ACM Transactions on Graphics

    TOG · 2 publications · 175 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 39 citations

    2

    h-index

  4. International Journal of Bank Marketing

    2 publications · 150 citations

    2

    h-index

  5. 2

    h-index

1–5