Gene Interaction Representation
Gene Interaction Representation is a knowledge representation framework that formally models the functional, regulatory, and physical relationships between genes within biological systems, distinguishing itself from general interaction paradigms by its specific focus on gene-level mechanistic dependencies and contextual molecular semantics.
17
Publications
701
Citations
65
Authors
49
Institutions
Publications per year
2017–2026
9
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Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers
Ruichu Cai, Chen XueXin, Yuan Fang et al. · Bioinformatics · 2020 · 101 citations · Full text
GNE: a deep learning framework for gene network inference by aggregating biological information
Kishan KC, Rui Li, Feng Cui et al. · BMC Systems Biology · 2019 · 87 citations · Full text
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Rochester Institute of Technology
Rochester, United States
2 h-index
10 publications
520 citations
GREYC
Caen, France
1 h-index
2 publications
28 citations
University of North Dakota
Grand Forks, United States
1 h-index
1 publications
12 citations
Centre Inria de l'Université Grenoble Alpes
Montbonnot-Saint-Martin, France
1 h-index
1 publications
10 citations
Iowa State University
Ames, United States
1 h-index
1 publications
48 citations
Texas A&M University System
College Station, United States
1 h-index
1 publications
23 citations
RIKEN Center for Brain Science
Wako, Japan
1 h-index
1 publications
13 citations

University of Electronic Science and Technology of China
Chengdu, China
1 h-index
1 publications
13 citations
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5 publications · 198 citations
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1 publications · 196 citations
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1 publications · 23 citations
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1 publications · 87 citations
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JBMS · 1 publications · 14 citations
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