Article

CellSIUS provides sensitive and specific detection of rare cell populations from complex single cell RNA-seq data

2019-01-09

Abstract excerpt

Comprehensive benchmarking of computational methods for single-cell RNA sequencing (scRNA-seq) analysis is scarce. Using a modular workflow and a large dataset with known cell composition, we benchmarked feature selection and clustering methodologies for scRNA-seq data. Results highlighted a methodology gap for rare cell population identification for which we developed CellSIUS ( Cell S ubtype Identification from...

Topics

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

Identifiers and source

Literature Corpus work: e21d12cb-9da9-5f99-b0d5-7c7bdfcaedbc
DOI: 10.1101/514950

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

CellSIUS provides sensitive and specific detection of rare cell populations from complex single cell RNA-seq dataDOI 10.1101/514950Read

The Cell Subtypes Selection by Genes (CSSG) algorithm for discovering cell populations in high resolutionSemantic proximity Read

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

FR-Match: Robust matching of cell type clusters from single cell RNA sequencing data using the Friedman-Rafsky non-parametric testSemantic proximity Read

Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMFSemantic proximity Read

<i>Cytocipher</i> determines significantly different populations of cells in single cell RNA-seq dataSemantic proximity Read

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

CelltypeR: A flow cytometry pipeline to annotate, characterize and isolate single cells from brain organoidsSemantic proximity Read

<i>easybio</i> : an R Package for Single-Cell Annotation with CellMarker2.0Semantic proximity Read

Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic dataSemantic proximity Read

A Universal Algorithm to Detect Rare or Novel Cell Types in High-Throughput Single-Cell Gene Expression DataSemantic proximity Read

Classifying cell cycle states and a quiescent-like G0 state using single-cell transcriptomicsSemantic proximity Read

A single cell transcriptomic analysis of human neocortical developmentSemantic proximity Read