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MONTAGE: A Computation Framework to Identify Spatially Resolved Functional Enrichment Gradients in the Tissue Microenvironment via Spatial Communities

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.30.651486Source: DataRank Database

MONTAGE: A Computation Framework to Identify Spatially Resolved Functional Enrichment Gradients in the Tissue Microenvironment via Spatial Communities is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0.104. It has been cited 1 time.

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0.104DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (22 grants)OA: greenTopics (21)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.104

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (13)

Zinaida Good ORCID,Marc A. Baertsch,Guolan Lu ORCID,John W. Hickey ORCID,Rachel Hildebrand ORCID

Live enrichment

PubMed:40654635 OpenAlex:https://openalex.org/W4410122988

National Cancer Institute

Grant: U54CA274511

National Cancer Institute

Grant: U54CA209971

National Cancer Institute

Grant: 1K99CA293149

National Cancer Institute

Grant: 4R00CA293149

National Institutes of Health

Grant: T32CA196585

American Cancer SocietyRoaring Fork Valley

Grant: PF-20-032-01-CSM

National Institutes of Health

Grant: 1R01DE029672

National Institutes of Health

Grant: P01CA257907

National Institutes of Health

Grant: R01DE030894

National Institutes of Health

Grant: R35DE030054

National Institutes of Health

Grant: P01HL108797

National Institutes of Health

Grant: U01AI101984

National Institutes of Health

Grant: 5U01AI140498

National Institutes of Health

Grant: U54HG010426

National Institutes of Health

Grant: U19AI100627

National Institutes of Health

Grant: R01HL120724

National Institutes of Health

Grant: R01HL128173

National Institutes of Health

Grant: 5P01AI131374

National Institutes of Health

Grant: UH3DK114937

National Institutes of Health

Grant: U19AI135976

National Institutes of Health

Grant: U2CCA233195

National Institutes of Health

Grant: U19AI057229

greenLicense: https://www.biorxiv.org/about/FAQ#license

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2025/05/06/2025.04.30.651486.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.04.30.651486

repositoryhttps://doi.org/10.1101/2025.04.30.651486

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40654635

Fields of Study

Single-cell and spatial transcriptomicsCancer Genomics and DiagnosticsDelphi Technique in Research

Keywords

TranscriptomeComputational biologyMetadataComputer scienceFocus (optics)Tumor heterogeneityBiologyTumor microenvironmentFunction (biology)CellCell biologyCancerTumor cellsCancer researchGenePhysicsGeneticsGene expression