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QuadST identifies cell–cell interaction–changed genes in spatially resolved transcriptomics data

Genome Research(2025)10.1101/gr.279859.124Source: DataRank Database

QuadST identifies cell–cell interaction–changed genes in spatially resolved transcriptomics data is a research paper published in Genome Research (2025). On theSindex it has a DataRank of 0.

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Enrichment:Funding (6 grants)OA: bronzeTopics (31)IDs (PubMed, PMC, OpenAlex)

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Authors (6)

Yuqing Shang ORCID,Michelle E. Ehrlich ORCID,Panos Roussos ORCID,Guo‐Cheng Yuan ORCID,Pei Wang ORCID

Live enrichment

PubMed:40550690 PMC:PMC12315707 OpenAlex:https://openalex.org/W4411553969

U.S. National Institutes of Health

Grant: R03AG075567

U.S. National Institutes of Health

Grant: RF1MH133703

Singapore Ministry of Education

Grant: FY2024-MOET1-0004

National Institutes of Health

Grant: 5R03AG075567-02

Statistical methods for studying cell-cell interactions using spatial transcriptomics for Alzheimer's disease

National Institutes of Health

Grant: 1RF1MH133703-01

Towards an integrated analytics solution to creating a spatially-resolved single-cell multi-omics brain atlas

Singapore Ministry of Health Duke-NUS Signature Research Programme

bronzeLicense: CC BY

journalhttp://genome.cshlp.org/content/early/2025/06/23/gr.279859.124.full.pdf

publisherhttp://genome.cshlp.org/content/early/2025/06/23/gr.279859.124.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/gr.279859.124

journalhttps://doi.org/10.1101/gr.279859.124

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40550690

Fields of Study

Single-cell and spatial transcriptomicsGene expression and cancer classificationCell Image Analysis TechniquesMedicineBiologyComputer Science0206 medical engineering02 engineering and technologyCell CommunicationHumansTranscriptomeGene Expression ProfilingSingle-Cell Analysis

MeSH Terms

Cell CommunicationHumansGene Expression ProfilingSingle-Cell AnalysisTranscriptome

Keywords

BiologyTranscriptomeGeneCellGeneticsComputational biologyCell biologyGene expressionGene Expression ProfilingMethodHumansCell CommunicationSingle-Cell Analysis