Article

Optimized Detection and Inference of Names in scRNA-seq data

2025-01-27

Abstract excerpt

Accurate identification of immune cell subsets in single-cell (sc)RNA-seq data is critical for understanding immune responses in autoimmune diseases, infections, and cancer. One caveat of scRNA-seq is the inability to properly assign rare immune cell subsets due to gene dropout events. To circumvent this caveat, we here developed Optimized Detection and Inference of Names in scRNA-seq data (scODIN). scODIN uses an...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 9ed99668-a36c-5ddd-acc2-2785d32dba9a
DOI: 10.1101/2025.01.27.634698

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Optimized Detection and Inference of Names in scRNA-seq dataDOI 10.1101/2025.01.27.634698Read

Genular: An Integrated Platform for Defining Cellular Identity and Function through Single-Cell Gene Expression and Multi-Domain Biological DataSemantic proximity Read

Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression dataSemantic proximity Read

Moana: A robust and scalable cell type classification framework for single-cell RNA-Seq dataSemantic proximity Read

Reproducible single cell annotation of programs underlying T-cell subsets, activation states, and functionsSemantic proximity Read

Comprehensive multi-omics single-cell data integration reveals greater heterogeneity in the human immune systemSemantic proximity Read

Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencingSemantic proximity Read

Automated identification of Cell Types in Single Cell RNA SequencingSemantic proximity Read

Outlier Detection in Single-Cell Transcriptomics Reveals Disease-Enriched Cytotoxic Immune PopulationsSemantic proximity Read

Single-cell mapper (scMappR): using scRNA-seq to infer cell-type specificities of differentially expressed genesSemantic proximity Read

Robust identification of perturbed cell types in single-cell RNA-seq dataSemantic proximity Read

Enhanced Annotation of CD45RA to Distinguish T cell Subsets in Single Cell RNA-seq via Machine LearningSemantic proximity Read

CIPR: a web-based R/shiny app and R package to annotate cell clusters in single cell RNA sequencing experimentsSemantic proximity Read