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A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data

Genome Research(2024)10.1101/gr.279126.124Source: DataRank Database

A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data is a research paper published in Genome Research (2024). On theSindex it has a DataRank of 0. It has been cited 10 times.

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Open Access10 citations

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Enrichment:Funding (8 grants)OA: bronzeTopics (24)IDs (PubMed, PMC, OpenAlex)Annotations (2)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (11)

Shouvik Mani ORCID,Nicolas Beltran-Velez,Katie Maurer ORCID,Teddy Huang ORCID,Shuqiang Li ORCID

Live enrichment

PubMed:39237300 PMC:PMC11529839 OpenAlex:https://openalex.org/W4402274119

National Institute of Health (NIH) National Cancer Institute

Grant: R00CA230195

National Institute of Health (NIH) National Cancer Institute

Grant: P01CA229092

Leukemia and Lymphoma Society

Grant: SCOR-22937-22

NCI NIH HHS

Grant: R50 CA251956

Columbia University Kaganov Fellowship

MacMillan Family

MacMillan Center for the Study of the Non-Coding Cancer Genome at the New York Genome Center

Richard K. Lubin Family Foundation Fellowship

bronzeLicense: cc-by-nc

journalhttps://genome.cshlp.org/content/34/9/1384.full.pdf

publisherhttps://genome.cshlp.org/content/34/9/1384.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/gr.279126.124

journalhttps://doi.org/10.1101/gr.279126.124

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39237300

Fields of Study

Single-cell and spatial transcriptomicsGene Regulatory Network AnalysisCell Image Analysis TechniquesBayes TheoremSingle-Cell AnalysisHumansCell CommunicationT-LymphocytesSequence Analysis, RNA

MeSH Terms

Bayes TheoremCell CommunicationHumansT-LymphocytesSequence Analysis, RNASingle-Cell Analysis

Keywords

BiologyBayesian probabilitySeries (stratigraphy)Computational biologyTime seriesEvolutionary biologyArtificial intelligenceComputer scienceMachine learning

A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data

FAIR Checklist

Authors (11)

Funding (8 grants)

Open Access

Topics

Annotations (Europe PMC)