Litcius/Paper detail

clustifyr: an R package for automated single-cell RNA sequencing cluster classification

Rui Fu, Austin E. Gillen, Ryan M. Sheridan, Chengzhe Tian, Michelle Daya, Yue Hao, Jay R. Hesselberth, Kent Riemondy

2020F1000Research133 citationsDOIOpen Access PDF

Abstract

Assignment of cell types from single-cell RNA sequencing (scRNA-seq) data remains a time-consuming and error-prone process. Current packages for identity assignment use limited types of reference data and often have rigid data structure requirements. We developed the clustifyr R package to leverage several external data types, including gene expression profiles to assign likely cell types using data from scRNA-seq, bulk RNA-seq, microarray expression data, or signature gene lists. We benchmark various parameters of a correlation-based approach and implement gene list enrichment methods. clustifyr is a lightweight and effective cell-type assignment tool developed for compatibility with various scRNA-seq analysis workflows. clustifyr is publicly available at https://github.com/rnabioco/clustifyr.

Topics & Concepts

Computational biologyLeverage (statistics)WorkflowComputer scienceRNAData typeBiologyGeneData miningGeneticsDatabaseArtificial intelligenceProgramming languageSingle-cell and spatial transcriptomicsGene expression and cancer classificationExtracellular vesicles in disease