Trajectory-informed Clustering
Trajectory-Informed Clustering is a cell clustering method that incorporates temporal or pseudo-temporal trajectory information to guide the identification of cell populations, thereby distinguishing itself from conventional clustering approaches by integrating dynamic progression patterns inherent in single-cell sequencing data.
19
Publications
983
Citations
58
Authors
47
Institutions
Publications per year
2017–2026
8
Parents
19
Michael C. Rudolph, James L. McManaman, Tzulip Phang et al. · Journal of Mammary Gland Biology and Neoplasia · 2003 · 210 citations
Learning to Route with Sparse Trajectory Sets
Chenjuan Guo, Bin Yang, Jilin Hu et al. · 2018 · 75 citations
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Auckland University of Technology
Auckland, New Zealand
2 h-index
3 publications
57 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
4 publications
572 citations

Ames Research Center
Mountain View, United States
2 h-index
2 publications
286 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
5 publications
329 citations

Nazarbayev University
Astana, Kazakhstan
1 h-index
1 publications
26 citations
University of Mannheim
Mannheim, Germany
1 h-index
1 publications
18 citations
Imam Abdulrahman Bin Faisal University
Dammam, Saudi Arabia
1 h-index
1 publications
26 citations
Aalborg University
Aalborg, Denmark
1 h-index
4 publications
300 citations
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Repository · 2 publications · 33 citations
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2 publications · 57 citations
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1 publications · 16 citations
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1 publications · 269 citations
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1 publications · 70 citations
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