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Spatial pathomics toolkit for quantitative analysis of podocyte nuclei with histology and spatial transcriptomics data in renal pathology

PubMed(2024)10.1117/12.3006318Source: DataRank Database

Spatial pathomics toolkit for quantitative analysis of podocyte nuclei with histology and spatial transcriptomics data in renal pathology is a research paper published in PubMed (2024). 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 (4 grants)OA: greenTopics (16)IDs (PubMed, PMC)

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 (12)

Yu Wang ORCID,Ruining Deng ORCID,Quan Liu ORCID,Can Cui ORCID,Tianyuan Yao ORCID

Live enrichment

PubMed:40375953 PMC:PMC12080590

NIDDK NIH HHS

Grant: R01 DK056942

NIDDK NIH HHS

Grant: R01 DK135597

National Institutes of Health

Grant: 1R01DK135597-01

AI-empowered 3D Computer Vision and Image-Omics Integration for Digital Kidney Histopathology

National Institutes of Health

Grant: 5R01DK056942-07

Resolution of Glomerulosclerosis

greenLicense: arXiv Non-Exclusive Distribution

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12080590/pdf/nihms-2022030.pdf

https://doi.org/10.1117/12.3006318

https://dx.doi.org/10.48550/arxiv.2308.06288

https://pubmed.ncbi.nlm.nih.gov/40375953

http://arxiv.org/abs/2308.06288

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

PodocyteSptSpatial TranscriptomicsSpatial PathomicsFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)FOS: Biological sciencesImage and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Image and Video ProcessingQuantitative Biology - Quantitative MethodsQuantitative Methods (q-bio.QM)