Shrinkage estimation of gene interaction networks in single-cell RNA sequencing data

The proposed framework broadens application of graphical model in scRNAseq analysis with flexibility in sparsity of count data resulting from dropout events, high performance, and fast computational time. Implementation of the framework is in a reproducible Snakemake workflow https://github.com/calathea24/ZINBGraphicalModel and R package ZINBStein https://github.com/calathea24/ZINBStein .

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Publication Details

Journal
BMC Bioinformatics
Published
2024-10-26
DOI
https://doi.org/10.1186/s12859-024-05946-9
Citations
2
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.47
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article

Shrinkage estimation of gene interaction networks in single-cell RNA sequencing data

Thomas Thorne, Duong H.T. Vo
2 citations
BMC Bioinformatics
Single-cell and spatial transcriptomics
0.47
article

Shrinkage estimation of gene interaction networks in single-cell RNA sequencing data

Thomas Thorne, Duong H.T. Vo
article en
2 citations

Abstract

The proposed framework broadens application of graphical model in scRNAseq analysis with flexibility in sparsity of count data resulting from dropout events, high performance, and fast computational time. Implementation of the framework is in a reproducible Snakemake workflow https://github.com/calathea24/ZINBGraphicalModel and R package ZINBStein https://github.com/calathea24/ZINBStein .

BMC BioinformaticsVol. 25(1)
University of Surrey (GB)
Openalex Percentile: Top 34%
Single-cell and spatial transcriptomics
0.47
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