Benchmark and Parameter Sensitivity Analysis of Single-Cell RNA Sequencing Clustering Methods

Benchmark and Parameter Sensitivity Analysis of Single-Cell RNA Sequencing Clustering Methods

Single-cell RNA-seq (scRNAseq) is a powerful tool to study heterogeneity of cells. Recently, several clustering based methods have been proposed to identify distinct cell populations. These methods are based on different statistical models and usually require to perform several additional steps, suc...

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Bibliographic Details
Main Authors: Monika Krzak, Yordan Raykov, Alexis Boukouvalas, Luisa Cutillo, Claudia Angelini
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-12-01
Series:Frontiers in Genetics
Subjects:
single-cell RNA-seq
clustering methods
benchmark
parameter sensitivity analysis
high-dimensional data analysis
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.01253/full

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