Trajectory Inference with Cell–Cell Interactions (TICCI): intercellular communication improves the accuracy of trajectory inference methods
Source code and binaries freely available for download at https://github.com/mine41/TICCI, implemented in R (version 4.32) and Python (version 3.7.16) and supported on MS Windows. Authors ensure that the software is available for a full two years following publication.
Authors
- Dacheng Qu (ORCID: https://orcid.org/0000-0003-2495-7977)
- Min Zhao (ORCID: https://orcid.org/0000-0001-5498-3434)
- Hong Qu (ORCID: https://orcid.org/0000-0001-7735-5748)
- Yifeng Fu (ORCID: https://orcid.org/0000-0001-7783-8766)
Institutions
- Beijing Institute of Technology (CN)
- University of the Sunshine Coast (AU)
- Peking University (CN)
- Beijing Electronic Science and Technology Institute (CN)
- China Association for Science and Technology (CN)
- State Key Laboratory of Plant Genomics (CN)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1093/bioinformatics/btaf027
- Citations
- 5
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 4.03