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Graphical-model framework for automated annotation of cell identities in dense cellular images

eLife(2021)10.7554/elife.60321Source: DataRank Database

Graphical-model framework for automated annotation of cell identities in dense cellular images is a research paper published in eLife (2021). On theSindex it has a DataRank of 0.571. It has been cited 44 times.

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0.571DataRank · unranked

Scored on demand from live citation data

Open Access44 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (12 grants)Impact (FWCI 7.22)OA: goldTopics (51)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.571

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (5)

Sol Ah Lee,Yueyi Li ORCID,Dhaval S Patel ORCID,Hang Lu ORCID,Shivesh Chaudhary ORCID

Live enrichment

PubMed:33625357 PMC:PMC8032398 OpenAlex:https://openalex.org/W3133330915

National Institutes of Health

Grant: R21DC015652

National Institutes of Health

Grant: R01NS096581

National Institutes of Health

Grant: R01GM088333

National Science Foundation

Grant: 1764406

NSF-Simons Southeast Center for Mathematics and Biology

National Science Foundation

Grant: 1707401

NeuroNex Technology Hub: Live Imaging of the C.elegans Connectome

National Institutes of Health

Grant: R01GM108962

National Institutes of Health

Grant: P40OD010440

National Institutes of Health

Grant: 1P40OD010440-01

Caenorhabditis Genetics Center

National Institutes of Health

Grant: 5R01GM108962-02

Functional characterization of an insulin-like peptide network that regulates learning

National Institutes of Health

Grant: 5R01GM088333-07

Quantitative microscopy-based rapid phenotyping and screening

National Institutes of Health

Grant: 5R21DC015652-02

An Assay to Screen for Drugs Against Transmembrane Proteins Associated with Deafness

National Institutes of Health

Grant: 5R01NS096581-04

Quantitative Understanding of Mechnosensory Circuit on Chip

FWCI

7.22

Citation Percentile

1.0%

Citation Trend

2021

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.7554/elife.60321

publisherhttps://doi.org/10.7554/elife.60321

publisherhttps://cdn.elifesciences.org/articles/60321/elife-60321-v2.pdf

publisherhttps://cdn.elifesciences.org/articles/60321/elife-60321-v2.xml

publisherhttps://elifesciences.org/articles/60321

Fields of Study

Cell Image Analysis TechniquesGenetics, Aging, and Longevity in Model OrganismsSingle-cell and spatial transcriptomics0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

AnimalsBrainImage Processing, Computer-AssistedModels, StatisticalCaenorhabditis elegansSingle-Cell Analysis

Keywords

AnnotationComputer scienceGraphical modelConditional random fieldRobustness (evolution)Identification (biology)Ground truthArtificial intelligenceProbabilistic logicPattern recognition (psychology)Biological dataCaenorhabditis elegansSimilarity (geometry)Machine learningData miningComputational biologyImage (mathematics)BioinformaticsBiologyGeneNeurosciencesystems biologyC. ElegansautomationWhole-brainProbabilistic Graphical ModelCell AnnotationModels, StatisticalQH301-705.5ScienceQRBrainImage Processing, Computer-AssistedMedicineAnimalsBiology (General)Single-Cell AnalysisComputational and Systems Biology

Sustainable Development Goals

SDG 3: 3. Good health

Additional file 1 of Toward a more accurate 3D atlas of C. elegans neurons

10.6084/m9.figshare.19921028.v1figshare

Additional file 1 of Toward a more accurate 3D atlas of C. elegans neurons

10.6084/m9.figshare.19921028figshare