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GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.03.531029Source: DataRank Database

GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: greenTopics (36)IDs (PubMed, OpenAlex)

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Authors (7)

Kaixuan Luo ORCID,Abhishek Sarkar ORCID,Anthony Hung ORCID,Karl Tayeb,Sebastian Pott ORCID

Live enrichment

PubMed:36945441 OpenAlex:https://openalex.org/W4323568718

National Institutes of Health

Grant: 2R01HG002585-09A1

Genome Analysis: Data Accuracy, Haplotyping and Mapping

NHGRI NIH HHS

Grant: R01 HG002585

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/06/23/2023.03.03.531029.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.03.03.531029

repositoryhttps://doi.org/10.1101/2023.03.03.531029

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36945441

Fields of Study

Single-cell and spatial transcriptomicsGene expression and cancer classificationRNA modifications and cancer0206 medical engineering02 engineering and technology

Keywords

Dimensionality reductionExpression (computer science)Computer scienceCurse of dimensionalityCluster analysisDifferential (mechanical device)Data miningSequence (biology)Similarity (geometry)Matrix decompositionArtificial intelligenceTheoretical computer scienceBiologyQH301-705.5Sequence Analysis, RNAGene Expression ProfilingMatrix factorizationMethodQH426-470Parts-based representationsSingle-cell ATAC-seqArticleTopic modelingGeneticsChromatin Immunoprecipitation SequencingGene expressionBiology (General)Single-Cell AnalysisDifferential expression analysisAlgorithmsSingle-cell RNA-seq