Article

Integrated analysis of single cell transcriptomic data across conditions, technologies, and species

2017-07-18

Abstract excerpt

<h4>ABSTRACT</h4> Single cell RNA-seq (scRNA-seq) has emerged as a transformative tool to discover and define cellular phenotypes. While computational scRNA-seq methods are currently well suited for experiments representing a single condition, technology, or species, analyzing multiple datasets simultaneously raises new challenges. In particular, traditional analytical workflows struggle to align subpopulations t...

Topics

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

Identifiers and source

Literature Corpus work: 20c6dfee-1ed1-57c1-b4cb-d0e3a9ea81c4
DOI: 10.1101/164889

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Integrated analysis of single cell transcriptomic data across conditions, technologies, and speciesDOI 10.1101/164889Read

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

scRICA: An R package for multiple-sample single-cell RNA-seq data integrative comparative analysisSemantic proximity Read

Fast, sensitive, and accurate integration of single cell data with HarmonySemantic proximity Read

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

Integrated meta-analysis of public human pancreatic single-cell transcriptomes reveals distinct beta-cell state trajectories across aging and diabetesSemantic proximity Read

Detection of differentially abundant cell subpopulations in scRNA-seq data.Semantic proximity Read

Development of computational methods to analyse single-cell RNA-sequencing data of γδ-T cells in human peripheral blood and breast cancerSemantic proximity Read

Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas ProjectsSemantic proximity Read

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

PanKbase Integrated Single-Cell Map: A Comprehensive Atlas of Human Pancreatic IsletsSemantic proximity Read

The need to reassess single-cell RNA sequencing datasets: the importance of biological sample processingSemantic proximity Read

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