ArticleBMC genomics2025
Differential detection workflows for multi-sample single-cell RNA-seq data.
Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Conserved hepatic RNA signatures across multiple cohorts reveal novel mechanistic clues for advanced fibrosis in human MASLD.Hepatology communications · 2026Pooled it
- Trustworthy Agentic AI in Bioinformatics: From Workflow Automation to Traceable and Validated Biological Inference.Biology · 2026Review
- A radiotherapy resistance-related prognostic signature predicts survival and the immune landscape in rectal cancer.Translational cancer research · 2026Article
- Article
- On feature selection to disentangle cell type and state transcriptional programs.BMC genomics · 2025Article
- Differential detection workflows for multi-sample single-cell RNA-seq data.BMC genomics · 2025Article
- Controlled noise: evidence of epigenetic regulation of single-cell expression variability.Bioinformatics (Oxford, England) · 2024Article
- Differential detection workflows for multi-sample single-cell RNA-seq data.bioRxiv : the preprint server for biology · 2023Article
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9 authors.
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Abstract
In single-cell transcriptomics, differential expression (DE) tools compare average expression between cell types or conditions. However, scRNA-seq technologies hold the promise to infer differences in other aspects of the expression distribution. We therefore developed workflows for differential detection (DD) to infer differences in the average fraction of cells in which expression is detected. After benchmarking eight DD strategies, we present a unified workflow for jointly assessing DE and DD. Through simulations and two case studies, we demonstrate that our joint analyses provide complementary information, both in terms of the individual genes they report and in their functional interpretation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.