LARIS enables accurate and efficient ligand and receptor interaction analysis in spatial transcriptomics.
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| Title: | LARIS enables accurate and efficient ligand and receptor interaction analysis in spatial transcriptomics. |
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| Authors: | Dai M; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.; Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA., Török T; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA., Sun D; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA., Shende V; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.; Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA., Wang G; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.; Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA., Lin Y; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA., Wu SJ; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.; Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA., Rukshin A; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.; Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA., Fishell G; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.; Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA., Chen F; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2025 Nov 28. Date of Electronic Publication: 2025 Nov 28. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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