ArticleScientific reports2024
Scanpro is a tool for robust proportion analysis of single-cell resolution data.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Evaluating exon skipping in the central nervous system in Duchenne muscular dystrophy using spatial transcriptomics.iScience · 2026Article
- SC-framework: A robust and FAIR semi-interactive environment for single-cell resolution datasets.iScience · 2026Article
- Alzheimer's Disease and circadian disruption sex-specifically contribute to a loss of bone maintenance in APP/PS1 model mice.bioRxiv : the preprint server for biology · 2026Article
- Autologous neutralizing antibodies and polyfunctional T cells contribute to long-term HIV-1 post-intervention control.Nature immunology · 2026Article
- Comprehensive cellular analysis with single-nucleus RNA-seq of archived PAXgene whole blood samples.Cell reports methods · 2026Article
- Metabolic adaptations rewire CD4Nature immunology · 2026Article
- Divergent CD45Frontiers in immunology · 2026Article
- Article
- Temporal regulation of genetic programs governing multiple cell death during myocardial ischemia-reperfusion injury.Frontiers in genetics · 2025Article
- PDGFRA is a conserved HAND2 effector during early cardiac development.Nature cardiovascular research · 2024Article
- Antigen presentation plays positive roles in the regenerative response to cardiac injury in zebrafish.Nature communications · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
In higher organisms, individual cells respond to signals and perturbations by epigenetic regulation and transcriptional adaptation. However, in addition to shifting the expression level of individual genes, the adaptive response of cells can also lead to shifts in the proportions of different cell types. Recent methods such as scRNA-seq allow for the interrogation of expression on the single-cell level, and can quantify individual cell type clusters within complex tissue samples. In order to identify clusters showing differential composition between different biological conditions, differential proportion analysis has recently been introduced. However, bioinformatics tools for robust proportion analysis of both replicated and unreplicated single-cell datasets are critically missing. In this manuscript, we present Scanpro, a modular tool for proportion analysis, seamlessly integrating into widely accepted frameworks in the Python environment. Scanpro is fast, accurate, supports datasets without replicates, and is intended to be used by bioinformatics experts and beginners alike.
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Registered trials
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.