Trajectory-aware Clustering
Trajectory-Aware Clustering is a single-cell clustering method that incorporates developmental or dynamic trajectory information to guide the identification of cell populations, thereby distinguishing itself from conventional clustering approaches by explicitly modeling the temporal or pseudotemporal progression of cells.
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2017–2026
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Learning to Route with Sparse Trajectory Sets
Chenjuan Guo, Bin Yang, Jilin Hu et al. · 2018 · 75 citations
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Georgia Institute of Technology
Atlanta, United States
4 h-index
11 publications
893 citations

Ames Research Center
Mountain View, United States
2 h-index
2 publications
286 citations

University of Ulsan
Ulsan, South Korea
1 h-index
4 publications
48 citations
Northwestern University
Evanston, United States
1 h-index
3 publications
210 citations

University of Macau
Macao, Macao
1 h-index
2 publications
340 citations
Office National d'Études et de Recherches Aérospatiales
Palaiseau, France
1 h-index
2 publications
166 citations

Zhejiang University of Technology
Hangzhou, China
1 h-index
1 publications
170 citations
Tongji University
Shanghai, China
1 h-index
1 publications
38 citations
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Repository · 2 publications · 33 citations
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2 publications · 62 citations
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2 publications · 439 citations
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1 publications · 70 citations
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AST · 1 publications · 83 citations
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