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
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Eindhoven University of Technology
Eindhoven, The Netherlands
6 h-index
6 publications
233 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
3 publications
51 citations
Stanford University
Stanford, United States
3 h-index
3 publications
401 citations

University of Alberta
Edmonton, Canada
3 h-index
3 publications
181 citations

University of Warwick
Coventry, United Kingdom
2 h-index
2 publications
174 citations
University of Technology Sydney
Sydney, Australia
2 h-index
2 publications
174 citations
Centre de Recherche en Économie et Statistique
Palaiseau, France
2 h-index
2 publications
174 citations

ENSAE Paris
Palaiseau, France
2 h-index
2 publications
174 citations
1–8 of 113
3 publications · 76 citations
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TOG · 2 publications · 175 citations
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Repository · 2 publications · 39 citations
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2 publications · 150 citations
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2 publications · 55 citations
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