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A Regularized Bayesian Dirichlet-multinomial Regression Model for Integrating Single-cell-level Omics and Patient-level Clinical Study Data

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.06.04.597391Source: DataRank Database

A Regularized Bayesian Dirichlet-multinomial Regression Model for Integrating Single-cell-level Omics and Patient-level Clinical Study Data is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.

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Enrichment:Funding (6 grants)OA: greenTopics (20)IDs (PubMed, OpenAlex)

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Authors (5)

Lei Yu ORCID,Lei Guo ORCID,Xu Lin ORCID,Qiwei Li ORCID,Yanghong Guo

Live enrichment

PubMed:38895417 OpenAlex:https://openalex.org/W4399443067

NCI NIH HHS

Grant: R21 CA259771

NCI NIH HHS

Grant: R01 CA263079

NHLBI NIH HHS

Grant: R01 HL144969

NIGMS NIH HHS

Grant: R01 GM141519

NHGRI NIH HHS

Grant: UM1 HG011996

NIDDK NIH HHS

Grant: R01 DK127037

greenLicense: cc-by-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2024/06/06/2024.06.04.597391.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.06.04.597391

repositoryhttps://doi.org/10.1101/2024.06.04.597391

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38895417

Fields of Study

Single-cell and spatial transcriptomicsGene expression and cancer classificationBioinformatics and Genomic Networks

Keywords

Bayesian probabilityDirichlet distributionMultinomial distributionRegressionCovariateComputational biologyComputer scienceBiologyStatisticsMathematicsArtificial intelligenceMachine learningDirichlet-multinomial regression modelshierarchical treeintegrative analysissingle-cell RNA sequencingspike-and-slap priors