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METI: Deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.06.561287Source: DataRank Database

METI: Deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.165. It has been cited 2 times.

N/A

0.165DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: greenTopics (47)IDs (PubMed, OpenAlex)SDGs (2)

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

0.165

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

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Authors (29)

Yunhe Liu ORCID,Jiang‐Jiang Qin ORCID,Jingjing Wu ORCID,Jianfeng Chen ORCID,Melissa Pool Pizzi ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4387452989

National Institutes of Health

Grant: 2T32CA217789-06A1

Translational Genomics and Precision Medicine in Cancer Training Program

National Institutes of Health

Grant: 5R01CA266280-04

Tumor cell lineage diversity and composition in gastric cancer progression and therapy resistance

National Institutes of Health

Grant: 5U01CA264583-03

Spatial and temporal tumor-immune co-evolution and interactions that model lung adenocarcinoma development

National Institutes of Health

Grant: 3P30CA016672-41S4

Cancer Center Support (CORE) Grant

National Institutes of Health

Grant: 5U24CA274274-03

PASSCODE (Pancreatic Adenocarcinoma Stromal Reprograming ConSortium COordination, Data Management and Education)

greenLicense: CC BY NC ND

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/10/07/2023.10.06.561287.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.10.06.561287

repositoryhttps://doi.org/10.1101/2023.10.06.561287

repositoryhttps://digitalcommons.library.tmc.edu/uthgsbs_docs/801

Fields of Study

Single-cell and spatial transcriptomicsCancer Genomics and DiagnosticsImmune cells in cancer0301 basic medicine03 medical and health sciences0303 health sciences

Keywords

TranscriptomeDeconvolutionComputational biologyBiologyInterpretabilitySpatial analysisCellGeneComputer scienceGene expressionArtificial intelligenceGeneticsGeographyAlgorithmCancer microenvironmentMedical SciencesBioinformaticsTumour heterogeneityScience610ArticleBiomedical InformaticsNeoplasmsCancer genomicsMedical SpecialtiesMedicine and Health SciencesTumor MicroenvironmentHumansCluster AnalysisTranscriptomicsNeoplasticGene Expression ProfilingQMedical Cell BiologyGene Expression Regulation, NeoplasticGene Expression RegulationOncologyUrinary Bladder NeoplasmsMedical Molecular BiologySingle-Cell AnalysisSoftware

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Life in Land