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miRglmm: a generalized linear mixed model of isomiR-level counts improves estimation of miRNA-level differential expression and uncovers variable differential expression between isomiRs

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.05.03.592274Source: DataRank Database

miRglmm: a generalized linear mixed model of isomiR-level counts improves estimation of miRNA-level differential expression and uncovers variable differential expression between isomiRs is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). 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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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:OA: greenTopics (13)IDs (PubMed, OpenAlex)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Arun H. Patil ORCID,Ernesto Aparicio‐Puerta ORCID,Marc K. Halushka ORCID,Matthew N. McCall ORCID,Andrea Baran ORCID

Live enrichment

PubMed:39071300 OpenAlex:https://openalex.org/W4396666494

greenLicense: cc-by-nc

repositoryhttps://doi.org/10.1101/2024.05.03.592274

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.05.03.592274

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39071300

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11275874

Fields of Study

MicroRNA in disease regulationCancer-related molecular mechanisms researchRNA Research and Splicing

Keywords

Expression (computer science)Differential (mechanical device)Generalized linear mixed modelVariable (mathematics)EconometricsMathematicsComputer scienceStatisticsPhysicsMathematical analysis