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Artificial Intelligence Models for Cell Type and Subtype Identification Based on Single-Cell RNA Sequencing Data in Vision Science

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2023)10.1109/tcbb.2023.3284795Source: DataRank Database

Artificial Intelligence Models for Cell Type and Subtype Identification Based on Single-Cell RNA Sequencing Data in Vision Science is a research paper published in IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023). On theSindex it has a DataRank of 0. It has been cited 9 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access9 citations

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Linked data & code

geo arrayexpress doi

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 0.83)OA: greenTopics (20)IDs (PubMed, PMC, OpenAlex)Annotations (3)SDGs (1)

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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Authors (6)

Aboozar Monavarfeshani ORCID,Hao Chen ORCID,W. Daniel Stamer ORCID,Robert W. Williams ORCID,Siamak Yousefi ORCID

Live enrichment

PubMed:37294649 PMC:PMC10631573 OpenAlex:https://openalex.org/W4379984812

NIH

Grant: EY033005

NIH

Grant: EY031725

NIH

Grant: P30DA044223

NEI NIH HHS

Grant: R21 EY031725

NEI NIH HHS

Grant: R01 EY033005

Bright Focus Foundation,

FWCI

0.83

Citation Percentile

0.7%

Citation Trend

2024

2025

2026

greenLicense: https://doi.org/10.15223/policy-029

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10631573/pdf/nihms-1936754.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/8857/10274759/10147267.pdf?arnumber=10147267

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10631573

journalhttps://doi.org/10.1109/tcbb.2023.3284795

Fields of Study

Single-cell and spatial transcriptomicsNeuroinflammation and Neurodegeneration MechanismsCCD and CMOS Imaging Sensors

MeSH Terms

Artificial IntelligenceRNACluster AnalysisSequence Analysis, RNAGene Expression ProfilingSingle-Cell Analysis

Keywords

Identification (biology)Computer scienceArtificial intelligenceCell typeRNAComputational biologyCellMachine learningBiologyGeneGenetics

Sustainable Development Goals

SDG 0: Decent work and economic growth

Artificial Intelligence Models for Cell Type and Subtype Identification Based on Single-Cell RNA Sequencing Data in Vision Science

FAIR Checklist

Authors (6)

Funding (6 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)