ArticleGenome biology2023
BEDwARS: a robust Bayesian approach to bulk gene expression deconvolution with noisy reference signatures.
Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Integration of Bulk and Single-Cell RNA Sequencing Analyses in Biomedicine.International journal of molecular sciences · 2026Review
- Approaching the holistic transcriptome-convolution and deconvolution in transcriptomics.Briefings in bioinformatics · 2025Review
- imply: improving cell-type deconvolution accuracy using personalized reference profiles.Genome medicine · 2024Article
- Article
- BEDwARS: a robust Bayesian approach to bulk gene expression deconvolution with noisy reference signatures.Genome biology · 2023Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Differential gene expression in bulk transcriptomics data can reflect change of transcript abundance within a cell type and/or change in the proportions of cell types. Expression deconvolution methods can help differentiate these scenarios. BEDwARS is a Bayesian deconvolution method designed to address differences between reference signatures of cell types and corresponding true signatures underlying bulk transcriptomic profiles. BEDwARS is more robust to noisy reference signatures and outperforms leading in-class methods for estimating cell type proportions and signatures. Application of BEDwARS to dihydropyridine dehydrogenase deficiency identified the possible involvement of ciliopathy and impaired translational control in the etiology of the disorder.
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Registered trials
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