Article

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

2020-08-25

Abstract excerpt

RNA sequencing (RNA-seq) is widely used to identify differentially expressed genes (DEGs) and reveal biological mechanisms underlying complex biological processes. RNA-seq is often performed on heterogeneous samples and the resulting DEGs do not necessarily indicate the cell types where the differential expression occurred. While single-cell RNA-seq (scRNA-seq) methods solve this problem, technical and cost constr...

Topics

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

Identifiers and source

Literature Corpus work: 555e8963-8fba-53db-8026-04be3fc07361
DOI: 10.1101/2020.08.24.265298

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Single-cell mapper (scMappR): using scRNA-seq to infer cell-type specificities of differentially expressed genesDOI 10.1101/2020.08.24.265298Read

SCDC: Bulk Gene Expression Deconvolution by Multiple Single-Cell RNA Sequencing ReferencesSemantic proximity Read

Highly accurate estimation of cell type abundance in bulk tissues based on single-cell reference and domain adaptive matchingSemantic proximity Read

MuSiC2: cell type deconvolution for multi-condition bulk RNA-seq dataSemantic proximity Read

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

Bulk tissue cell type deconvolution with multi-subject single-cell expression referenceSemantic proximity Read

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

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

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

Stabilized marker gene identification and functional annotation from single-cell transcriptomic dataSemantic proximity Read

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

Bulk Tissue Cell Type Deconvolution with Multi-Subject Single-Cell Expression ReferenceSemantic proximity Read

cellHarmony: Cell-level matching and holistic comparison of single-cell transcriptomesSemantic proximity Read