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A sparse negative binomial mixture model for clustering RNA-seq count data

Biostatistics(2021)10.1093/biostatistics/kxab025Source: DataRank Database

A sparse negative binomial mixture model for clustering RNA-seq count data is a research paper published in Biostatistics (2021). On theSindex it has a DataRank of 0. It has been cited 7 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)Impact (FWCI 0.81)OA: greenTopics (48)IDs (PubMed, PMC, OpenAlex)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 (5)

Tanbin Rahman,Tianzhou Ma ORCID,Lu Tang ORCID,George C. Tseng ORCID,Yujia Li ORCID

Live enrichment

PubMed:34363675 PMC:PMC9766880 OpenAlex:https://openalex.org/W3192441659

NIH

Grant: R01CA190766

NIH

Grant: R21LM012752

National Institutes of Health

Grant: 5R21LM012752-02

Congruence of mouse model to human in transcriptomic response

National Institutes of Health

Grant: 1R01CA190766-01A1

Power calculation and design issues in next-generation sequencing

FWCI

0.81

Citation Percentile

0.8%

Citation Trend

2022

2023

2024

2025

greenLicense: OUP Standard Publication Reuse

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9766880

publisherhttps://academic.oup.com/biostatistics/article-pdf/24/1/68/47792630/kxab025.pdf

journalhttps://doi.org/10.1093/biostatistics/kxab025

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34363675

Fields of Study

Bayesian Methods and Mixture ModelsGene expression and cancer classificationStatistical Methods and Inference0202 electrical engineering, electronic engineering, information engineering02 engineering and technologyHumansRNA-SeqBayes TheoremCluster AnalysisNormal DistributionModels, Statistical

MeSH Terms

RNA-SeqBayes TheoremHumansModels, StatisticalCluster AnalysisNormal Distribution

Keywords

Count dataFeature selectionMixture modelLasso (programming language)Cluster analysisNegative binomial distributionComputer scienceModel selectionBayesian information criterionBayesian inferenceBayesian probabilityInferenceFeature (linguistics)Pattern recognition (psychology)Data miningArtificial intelligenceMathematicsStatisticsPoisson distributionGaussian Mixture ModelSparse K-meansFOS: Computer and information sciencesComputer Science - Machine LearningModels, StatisticalStatistics - Machine LearningNormal DistributionHumansBayes TheoremMachine Learning (stat.ML)RNA-SeqMachine Learning (cs.LG)

Sustainable Development Goals

SDG 0: Good health and well-being