A benchmark study of simulation methods for single-cell RNA sequencing data

Simulation is useful for developing and evaluating computational methods. Here, the authors develop a comprehensive evaluation framework, SimBench, to benchmark Single-cell RNA-seq simulation methods through a diverse collection of experimental datasets.

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Detalles Bibliográficos
Autores principales:	Yue Cao, Pengyi Yang, Jean Yee Hwa Yang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/1fef66107899481a8f496eddf881bbca
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spelling	oai:doaj.org-article:1fef66107899481a8f496eddf881bbca2021-11-28T12:36:03ZA benchmark study of simulation methods for single-cell RNA sequencing data10.1038/s41467-021-27130-w2041-1723https://doaj.org/article/1fef66107899481a8f496eddf881bbca2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-27130-whttps://doaj.org/toc/2041-1723Simulation is useful for developing and evaluating computational methods. Here, the authors develop a comprehensive evaluation framework, SimBench, to benchmark Single-cell RNA-seq simulation methods through a diverse collection of experimental datasets.Yue CaoPengyi YangJean Yee Hwa YangNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yue Cao Pengyi Yang Jean Yee Hwa Yang A benchmark study of simulation methods for single-cell RNA sequencing data
description	Simulation is useful for developing and evaluating computational methods. Here, the authors develop a comprehensive evaluation framework, SimBench, to benchmark Single-cell RNA-seq simulation methods through a diverse collection of experimental datasets.
format	article
author	Yue Cao Pengyi Yang Jean Yee Hwa Yang
author_facet	Yue Cao Pengyi Yang Jean Yee Hwa Yang
author_sort	Yue Cao
title	A benchmark study of simulation methods for single-cell RNA sequencing data
title_short	A benchmark study of simulation methods for single-cell RNA sequencing data
title_full	A benchmark study of simulation methods for single-cell RNA sequencing data
title_fullStr	A benchmark study of simulation methods for single-cell RNA sequencing data
title_full_unstemmed	A benchmark study of simulation methods for single-cell RNA sequencing data
title_sort	benchmark study of simulation methods for single-cell rna sequencing data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/1fef66107899481a8f496eddf881bbca
work_keys_str_mv	AT yuecao abenchmarkstudyofsimulationmethodsforsinglecellrnasequencingdata AT pengyiyang abenchmarkstudyofsimulationmethodsforsinglecellrnasequencingdata AT jeanyeehwayang abenchmarkstudyofsimulationmethodsforsinglecellrnasequencingdata AT yuecao benchmarkstudyofsimulationmethodsforsinglecellrnasequencingdata AT pengyiyang benchmarkstudyofsimulationmethodsforsinglecellrnasequencingdata AT jeanyeehwayang benchmarkstudyofsimulationmethodsforsinglecellrnasequencingdata
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A benchmark study of simulation methods for single-cell RNA sequencing data

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