Trajectory Graph Inference
Trajectory Graph Inference is a computational method that, within the field of single-cell genomics, reconstructs the high-dimensional state transitions of cellular differentiation or development by modeling inferred trajectories as directed graphs that represent branching and merging dynamics among cell states.
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17.6K
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127
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73
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2017–2026
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Reversed graph embedding resolves complex single-cell trajectories
Xiaojie Qiu, Qi Mao, Ying Tang et al. · Nature Methods · 2017 · 5.4K citations · Full text
Learning a Proposal Classifier for Multiple Object Tracking
Peng Dai, Renliang Weng, Wongun Choi et al. · 2021 · 125 citations
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Technical University of Munich
Munich, Germany
4 h-index
14 publications
11.5K citations

Helmholtz Zentrum München
Munich, Germany
4 h-index
25 publications
34.1K citations

Ghent University
Ghent, Belgium
3 h-index
11 publications
704 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
9 publications
5.6K citations
VIB-UGent Center for Inflammation Research
Ghent, Belgium
3 h-index
11 publications
704 citations
University of Illinois Chicago
Chicago, United States
2 h-index
2 publications
5.4K citations
Centre International de Recherche en Infectiologie
Lyon, France
2 h-index
2 publications
125 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
2 h-index
2 publications
125 citations
1–8 of 73
Repository · 4 publications · 216 citations
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2 publications · 11.1K citations
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1 publications · 41 citations
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1 publications · 23 citations
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1 publications · 32 citations
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