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PCTA, a pan-cancer cell line transcriptome atlas

Cancer Letters(2024)10.1016/j.canlet.2024.216808Source: DataRank Database

PCTA, a pan-cancer cell line transcriptome atlas is a research paper published in Cancer Letters (2024). On theSindex it has a DataRank of 0. It has been cited 13 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access13 citations

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Linked data & code

doi

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 1.91)OA: greenTopics (35)IDs (PubMed, PMC, OpenAlex)Annotations (1)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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Authors (3)

Lin Li ORCID,Xiuping Yu ORCID,Siyuan Cheng ORCID

Live enrichment

PubMed:38462036 PMC:PMC11019865 OpenAlex:https://openalex.org/W4392623885

NIH

Grant: R01 CA226285

National Institutes of Health

Grant: 5R01CA226285-02

Androgen Deprivation Activates Wnt/Beta-Catenin Signaling in Prostate Cancer

Feist-Weiller Cancer Center

FWCI

1.91

Citation Percentile

0.9%

Citation Trend

2023

2024

2025

2026

greenLicense: Elsevier TDM

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11019865/pdf/nihms-1980109.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0304383524002015?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0304383524002015?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11019865

Fields of Study

Single-cell and spatial transcriptomicsRNA modifications and cancerBioinformatics and Genomic Networks0301 basic medicine0303 health sciences03 medical and health sciencesHumansTranscriptomeGene Expression ProfilingNeoplasmsSoftwareCell Line

MeSH Terms

Cell LineHumansNeoplasmsSoftwareGene Expression ProfilingTranscriptome

Keywords

TranscriptomeLeverage (statistics)Computer scienceComputational biologyAtlas (anatomy)BioinformaticsBiologyGeneGene expressionArtificial intelligenceGeneticsGene Expression ProfilingNeoplasmsHumansArticleSoftwareCell Line

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being