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An image analysis pipeline to quantify the spatial distribution of cell markers in stroma-rich tumors

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.28.650414Source: DataRank Database

An image analysis pipeline to quantify the spatial distribution of cell markers in stroma-rich tumors is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: greenTopics (20)IDs (PubMed, OpenAlex)

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Authors (5)

N. V. Kozlova ORCID,Kayla Cruz ORCID,Taru Muranen ORCID,Simon F. Nørrelykke ORCID,Antoine A. Ruzette ORCID

Live enrichment

PubMed:40654607 OpenAlex:https://openalex.org/W4410002696

National Institutes of Health

Grant: NIH R01 CA258372

American Cancer Society

Grant: RSG-19-0201-CSM

National Institutes of Health

Grant: 1R01CA258372-01

Role of extracellular matrix proteins and tumor stroma in DNA repair and cancer progression

Ludwig Center at Harvard University

Foundry Program at Harvard University

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2025/05/01/2025.04.28.650414.full.pdf

repositoryhttps://doi.org/10.1101/2025.04.28.650414

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40654607

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12247833

Fields of Study

Radiomics and Machine Learning in Medical ImagingCancer Cells and MetastasisAI in cancer detection03 medical and health sciences0302 clinical medicine

Keywords

StromaSpatial distributionPipeline (software)Distribution (mathematics)Computational biologyBiologyPathologyComputer scienceGeologyMedicineMathematicsRemote sensingImmunohistochemistryTechnology and CodeArticle