A Robust Kernel‐Based Workflow for Niche Trajectory Analysis(Small Methods 5/2025)
Niche Trajectory Analyses In article number 2401199, Guo-Cheng Yuan and co-workers develop a kernel-based machine learning method for niche trajectory analysis. This method enables biologists to dissect the spatially continuous variations of tissue microenvironment from spatial omics data. This method is technology agnostic and does not require cell type annotation information.
Authors
- Joselyn Chávez (ORCID: https://orcid.org/0000-0002-4974-4591)
- Guo‐Cheng Yuan (ORCID: https://orcid.org/0000-0002-2283-4714)
- Sujung Crystal Shin (ORCID: https://orcid.org/0009-0006-7382-6622)
- Wen Wang (ORCID: https://orcid.org/0000-0003-4366-933X)
Institutions
- Tisch Hospital (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Small Methods
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1002/smtd.202570031
- Primary Topic
- Autonomous Vehicle Technology and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00