A computational pipeline for spatial mechano-transcriptomics.

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Bibliographic Details
Title: A computational pipeline for spatial mechano-transcriptomics.
Authors: Hallou A; Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK. adrien.hallou@kennedy.ox.ac.uk.; Gurdon Institute, University of Cambridge, Cambridge, UK. adrien.hallou@kennedy.ox.ac.uk.; Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK. adrien.hallou@kennedy.ox.ac.uk., He R; Department of Biomedical Engineering, Columbia University, New York City, NY, USA. rh3194@columbia.edu.; New York Genome Center, New York City, NY, USA. rh3194@columbia.edu.; Irving Institute for Cancer Dynamics, Columbia University, New York City, NY, USA. rh3194@columbia.edu., Simons BD; Gurdon Institute, University of Cambridge, Cambridge, UK.; Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.; Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Cambridge, UK., Dumitrascu B; Irving Institute for Cancer Dynamics, Columbia University, New York City, NY, USA. bmd2151@columbia.edu.; Department of Statistics, Columbia University, New York City, NY, USA. bmd2151@columbia.edu.
Source: Nature methods [Nat Methods] 2025 Apr; Vol. 22 (4), pp. 737-750. Date of Electronic Publication: 2025 Mar 17.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101215604 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1548-7105 (Electronic) Linking ISSN: 15487091 NLM ISO Abbreviation: Nat Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1548-7105
DOI:10.1038/s41592-025-02618-1