Fast and precise single-cell data analysis using a hierarchical autoencoder

Accurate analysis of single-cell RNA sequencing (scRNA-seq) data is affected by issues including technical noise and high dropout rate. Here, the authors develop a hierarchical autoencoder, scDHA, which outperforms existing methods in scRNA-seq analyses such as cell segregation and classification.

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Autores principales:	Duc Tran, Hung Nguyen, Bang Tran, Carlo La Vecchia, Hung N. Luu, Tin Nguyen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/813eb214084a4077901ce27df4df0494
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spelling	oai:doaj.org-article:813eb214084a4077901ce27df4df04942021-12-02T10:54:04ZFast and precise single-cell data analysis using a hierarchical autoencoder10.1038/s41467-021-21312-22041-1723https://doaj.org/article/813eb214084a4077901ce27df4df04942021-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21312-2https://doaj.org/toc/2041-1723Accurate analysis of single-cell RNA sequencing (scRNA-seq) data is affected by issues including technical noise and high dropout rate. Here, the authors develop a hierarchical autoencoder, scDHA, which outperforms existing methods in scRNA-seq analyses such as cell segregation and classification.Duc TranHung NguyenBang TranCarlo La VecchiaHung N. LuuTin NguyenNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Duc Tran Hung Nguyen Bang Tran Carlo La Vecchia Hung N. Luu Tin Nguyen Fast and precise single-cell data analysis using a hierarchical autoencoder
description	Accurate analysis of single-cell RNA sequencing (scRNA-seq) data is affected by issues including technical noise and high dropout rate. Here, the authors develop a hierarchical autoencoder, scDHA, which outperforms existing methods in scRNA-seq analyses such as cell segregation and classification.
format	article
author	Duc Tran Hung Nguyen Bang Tran Carlo La Vecchia Hung N. Luu Tin Nguyen
author_facet	Duc Tran Hung Nguyen Bang Tran Carlo La Vecchia Hung N. Luu Tin Nguyen
author_sort	Duc Tran
title	Fast and precise single-cell data analysis using a hierarchical autoencoder
title_short	Fast and precise single-cell data analysis using a hierarchical autoencoder
title_full	Fast and precise single-cell data analysis using a hierarchical autoencoder
title_fullStr	Fast and precise single-cell data analysis using a hierarchical autoencoder
title_full_unstemmed	Fast and precise single-cell data analysis using a hierarchical autoencoder
title_sort	fast and precise single-cell data analysis using a hierarchical autoencoder
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/813eb214084a4077901ce27df4df0494
work_keys_str_mv	AT ductran fastandprecisesinglecelldataanalysisusingahierarchicalautoencoder AT hungnguyen fastandprecisesinglecelldataanalysisusingahierarchicalautoencoder AT bangtran fastandprecisesinglecelldataanalysisusingahierarchicalautoencoder AT carlolavecchia fastandprecisesinglecelldataanalysisusingahierarchicalautoencoder AT hungnluu fastandprecisesinglecelldataanalysisusingahierarchicalautoencoder AT tinnguyen fastandprecisesinglecelldataanalysisusingahierarchicalautoencoder
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Fast and precise single-cell data analysis using a hierarchical autoencoder

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