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A Bayesian framework to study tumor subclone–specific expression by combining bulk DNA and single-cell RNA sequencing data

Genome Research(2024)10.1101/gr.278234.123Source: DataRank Database

A Bayesian framework to study tumor subclone–specific expression by combining bulk DNA and single-cell RNA sequencing data is a research paper published in Genome Research (2024). On theSindex it has a DataRank of 0. It has been cited 4 times.

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Open Access4 citations

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Enrichment:Funding (9 grants)OA: bronzeTopics (35)IDs (PubMed, PMC, OpenAlex)Annotations (2)

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Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (10)

Xiaomeng Huang ORCID,Philip J. Moos ORCID,Jonathan M. Ahmann,Anthony D. Pomicter ORCID,Michael W. Deininger ORCID

Live enrichment

PubMed:38195207 PMC:PMC10903947 OpenAlex:https://openalex.org/W4390700702

National Institutes of Health

Grant: U24CA209999

National Institutes of Health

Grant: P30CA042014

National Institutes of Health

Grant: 1S10OD021644-01A1

From genomics to natural language processing: A protected environment for research computing in the health science

NIH HHS

Grant: S10 OD021644

National Institutes of Health

Grant: 3P30CA042014-30S2

Cancer Center Support Grant

National Institutes of Health

Grant: 5U24CA209999-05

Monitoring tumor subclonal heterogeneity over time and space

The V Foundation for Cancer Research

Utah Genome Project

National Cancer Institute

bronzeLicense: cc-by-nc

journalhttps://genome.cshlp.org/content/early/2024/01/09/gr.278234.123.full.pdf

publisherhttps://genome.cshlp.org/content/early/2024/01/09/gr.278234.123.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/gr.278234.123

journalhttps://doi.org/10.1101/gr.278234.123

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38195207

Fields of Study

Single-cell and spatial transcriptomicsCancer Genomics and DiagnosticsMolecular Biology Techniques and Applications0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

Exome SequencingBayes TheoremHumansNeoplasmsSequence Analysis, RNAGene Expression ProfilingSingle-Cell Analysis

Keywords

BiologyComputational biologyIn silicoRNA-SeqTranscriptomeGeneDNA sequencingExome sequencingGeneticsCancer genome sequencingGenomicsCancerGenomeGene expressionMutationSequence Analysis, RNANeoplasmsGene Expression ProfilingMethodsHumansBayes TheoremSingle-Cell Analysis

A Bayesian framework to study tumor subclone–specific expression by combining bulk DNA and single-cell RNA sequencing data

FAIR Checklist

Authors (10)

Funding (9 grants)

Open Access

Topics

Annotations (Europe PMC)