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Tumor-immune partitioning and clustering algorithm for identifying tumor-immune cell spatial interaction signatures within the tumor microenvironment

PLoS Computational Biology(2025)10.1371/journal.pcbi.1012707Source: DataRank Database

Tumor-immune partitioning and clustering algorithm for identifying tumor-immune cell spatial interaction signatures within the tumor microenvironment is a research paper published in PLoS Computational Biology (2025). On theSindex it has a DataRank of 0.268. It has been cited 4 times, with 3 citing works in its 1-hop citation network.

N/A

0.268DataRank · unranked

Scored on demand from live citation data

Open Access4 citations · 3 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (21 grants)OA: goldTopics (30)IDs (PubMed)

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 90%Citation Network 10%

Base Score Contribution

0.241

From this paper's citation signal

Citation Network Contribution

0.0268

From 1 citing papers with measurable signal

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Top 3 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 3 citers.

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Journal of Cancer20250 citations91 referencesContributes 0.000
Colorectal cancer landscape from gut microbiota: Insights into mutations, epigenetic dysregulation, and immune microenvironment alterations
Virulence20260 citations230 referencesContributes 0.000

Authors (21)

Jennifer Borowsky ORCID,Juha P. Väyrynen ORCID,Koichiro Haruki ORCID,Melissa Zhao ORCID,Andressa Dias Costa ORCID

Live enrichment

PubMed:39965007

National Institutes of Health

Grant: P01 CA87969; UM1 CA186107; P01 CA55075; UM1 CA167552; U01 CA167552; P50 CA127003

National Institutes of Health

Grant: R35 CA197735; R01 CA248857

National Institutes of Health

Grant: R37 CA225655

National Institutes of Health

Grant: R50 CA274122

Cancer Research UK Grand Challenge Award

Grant: C10674/A27140

American Association for Cancer Research

Grant: SU2C-AACR-DT22-17 (the Stand Up to Cancer Colorectal Cancer Dream Team Translational Research Grant)

Agency for Science, Technology and Research

Grant: Core funds

National Medical Research Council

Grant: OFYIRG23jan-0049

Uehara Memorial Foundation

Grant: Fellowship programme

Japan Society for the Promotion of Science

Grant: JP2018-60083

American Cancer Society

Grant: CRP-24-1185864-01-PROF

Harvard T.H. Chan School of Public Health

Grant: Prevent Cancer Foundation grant; Harvey V. Fineberg Cancer Prevention Fellowship

American Institute for Cancer Research

Grant: Faculty Career Development Award

NCI NIH HHS

Grant: R35 CA197735

NCI NIH HHS

Grant: P01 CA087969

NCI NIH HHS

Grant: R01 CA248857

NCI NIH HHS

Grant: U01 CA167552

NCI NIH HHS

Grant: UM1 CA186107

NCI NIH HHS

Grant: UM1 CA167552

NCI NIH HHS

Grant: P50 CA127003

NCI NIH HHS

Grant: P01 CA055075

goldLicense: cc-by

publisherhttps://doi.org/10.1371/journal.pcbi.1012707

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1012707

repositoryhttps://doaj.org/article/2939d24ea9c04e19b3b21ef9f04f8c1c

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11849983

Fields of Study

HumansTumor MicroenvironmentAlgorithmsComputational BiologyCluster AnalysisColorectal NeoplasmsLymphocytes, Tumor-InfiltratingLiver NeoplasmsPrognosisProspective StudiesFemaleT-LymphocytesMaleCarcinoma, HepatocellularClustering Algorithms

MeSH Terms