Article

Identification of Kidney Cell Types in scRNA-seq and snRNA-seq Data Using Machine Learning Algorithms

2024-01-31

Abstract excerpt

<title>Abstract</title> <p>Background Single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq) provide valuable insights into the cellular states of kidney cells. However, the annotation of cell types often requires extensive domain expertise and time-consuming manual curation, limiting scalability and generalizability. To facilitate this process, we tested the performance of five sup...

Topics

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

Identifiers and source

Literature Corpus work: 8ef622f6-220f-5c32-8370-a35dae7b0b09
DOI: 10.21203/rs.3.rs-3814951/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identification of Kidney Cell Types in scRNA-seq and snRNA-seq Data Using Machine Learning AlgorithmsDOI 10.21203/rs.3.rs-3814951/v1Read

Benchmarking Machine Learning Models for Cell Type Annotation in Single-Cell vs Single-Nucleus RNA-Seq DataSemantic proximity Read

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

Discovery of optimal cell type classification marker genes from single cell RNA sequencing dataSemantic proximity Read

Systematic evaluation of single-cell multimodal data integration enhances cell type resolution and discovery of clinically relevant states in complex tissuesSemantic proximity Read

An Integrated Atlas of the Human Kidney Spanning Health and DiseasesSemantic proximity Read

Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy responseSemantic proximity Read

Novel Human Kidney Cell Subsets Identified by Mux-SeqSemantic proximity Read

<i>Besca</i> , a single-cell transcriptomics analysis toolkit to accelerate translational researchSemantic proximity Read

Discovery of optimal cell type classification marker genes from single cell RNA sequencing dataSemantic proximity Read

Systematic evaluation of single-cell multimodal data integration for comprehensive human reference atlasSemantic proximity Read

Single Nucleus RNA Sequencing of Remnant Kidney Biopsies and Urine Cell RNA Sequencing Reveal Cell Specific Markers of Covid-19 Acute Kidney InjurySemantic proximity Read

scQuery: a web server for comparative analysis of single-cell RNA-seq dataSemantic proximity Read