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A multi-modal framework improves prediction of tissue-specific gene expression from a surrogate tissue

EBioMedicine(2024)10.1016/j.ebiom.2024.105305Source: DataRank Database

A multi-modal framework improves prediction of tissue-specific gene expression from a surrogate tissue is a research paper published in EBioMedicine (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.

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Open Access3 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (13 grants)Impact (FWCI 1.13)OA: goldTopics (39)IDs (PubMed, PMC, OpenAlex)Annotations (1)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 (10)

Chunfeng He,Jiayao Fan,Yuan Zhou ORCID,Chunxiao Cheng ORCID,Ran Meng ORCID

Live enrichment

PubMed:39180788 PMC:PMC11388271 OpenAlex:https://openalex.org/W4401808387

NIA NIH HHS

Grant: R56 AG068026

NIH HHS

Grant: U24 OD035523

NHGRI NIH HHS

Grant: R01 HG011138

NHGRI NIH HHS

Grant: R35 HG010718

NIGMS NIH HHS

Grant: R01 GM140287

National Institutes of Health

Grant: 5R56AG068026-02

Advancing drug repositioning and development for Alzheimer's Disease using functional genomics and computational phenomics

National Institutes of Health

Grant: 5R35HG010718-02

Functional Genomics: A Phenome-wide Survey

National Institutes of Health

Grant: 5R01HG011138-05

Advancing Multi-Omics and Electronic Health Records Computational Methodologies

National Institutes of Health

Grant: 1F99HG013039-01

Leveraging natural and engineered genetic barcodes from single cell RNA sequencing to investigate cellular evolution, clonal expansion, and associations between cellular genotypes and phenotypes

National Institutes of Health

Grant: 5R01GM140287-02

Haplotype-aware models of gene and isoform expression with application to genetic studies of disease in diverse populations

National Institutes of Health

Grant: 7R01CA228140-02

Transfer: DNA Methylation Canyons in Human Cancers: Methods, Target Genes and Functional Consequences

National Institutes of Health

Grant: 2R01CA193466-07

Computational and Experimental Modeling of Alternative Polyadenylation

National Institutes of Health

Grant: 5U24OD035523-02

ECHO Laboratory Core at Vanderbilt for Integrated Sample Biobanking and Processing

FWCI

1.13

Citation Percentile

0.8%

Citation Trend

2024

2025

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.ebiom.2024.105305

publisherhttps://doi.org/10.1016/j.ebiom.2024.105305

publisherhttps://api.elsevier.com/content/article/PII:S2352396424003414?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2352396424003414?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39180788

Fields of Study

Genetic Associations and EpidemiologyCardiovascular Disease and AdipositySingle-cell and spatial transcriptomics0206 medical engineering02 engineering and technologyHumansOrgan SpecificityTranscriptomeGene Expression ProfilingComputational BiologyBody Mass IndexGene Expression RegulationAlgorithms

MeSH Terms

AlgorithmsGene Expression RegulationHumansOrgan SpecificityBody Mass IndexComputational BiologyGene Expression ProfilingTranscriptome

Keywords

TranscriptomeComputational biologyGene expressionBiologyGene expression profilingGeneBioinformaticsGeneticsBMITwasMulti-omicsCross-tissue PredictionGene Expression RegulationOrgan SpecificityHumansArticlesAlgorithmsBody Mass Index

Sustainable Development Goals

SDG 0: Gender equality

A multi-modal framework improves prediction of tissue-specific gene expression from a surrogate tissue

FAIR Checklist

Authors (10)

Funding (13 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)