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Recovering time-varying networks from single-cell data

Bioinformatics(2025)10.1093/bioinformatics/btaf210Source: DataRank Database

Recovering time-varying networks from single-cell data is a research paper published in Bioinformatics (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: goldTopics (29)IDs (PubMed, PMC)

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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 (3)

Barnabás Póczos ORCID,Ziv Bar‐Joseph ORCID,Euxhen Hasanaj ORCID

Live enrichment

PubMed:40662830 PMC:PMC12261490

National Institutes of Health

Grant: U24CA268108

National Science Foundation

Grant: 2134998

Collaborative Research: RECODE: Directed Differentiation of Human Liver Organoids via Computational Analysis and Engineering of Gene Regulatory Networks

National Institutes of Health

Grant: 3U24CA268108-03S2

SenNet Supplement - 2 -FY 2024

goldLicense: cc-by

publisherhttps://academic.oup.com/bioinformatics/article-pdf/41/Supplement_1/i628/63745669/btaf210.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12261490

Europe_PMChttps://europepmc.org/articles/PMC12261490

Europe_PMChttps://europepmc.org/articles/PMC12261490?pdf=render

https://doi.org/10.1093/bioinformatics/btaf210

Fields of Study

0206 medical engineering02 engineering and technology

MeSH Terms

HumansComputational BiologyGene Expression RegulationAlgorithmsGene Regulatory NetworksSingle-Cell AnalysisDeep LearningNeural Networks, ComputerCOVID-19SARS-CoV-2

Keywords

FOS: Computer and information sciencesComputer Science - Machine LearningSARS-CoV-2COVID-19Computational BiologyQuantitative Biology - Quantitative MethodsMachine Learning (cs.LG)Deep LearningGene Expression RegulationFOS: Biological sciencesSystems Biology and NetworksHumansGene Regulatory NetworksNeural Networks, ComputerSingle-Cell AnalysisAlgorithmsQuantitative Methods (q-bio.QM)