Interpretable dimensionality reduction of single cell transcriptome data with deep generative models

Although single-cell transcriptome data are increasingly available, their interpretation remains a challenge. Here, the authors present a dimensionality reduction approach that preserves both the local and global neighbourhood structures in the data thus enhancing its interpretability.

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Detalles Bibliográficos
Autores principales:	Jiarui Ding, Anne Condon, Sohrab P. Shah
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/374e2f7ee4b743cebc2a0022380ea83b
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spelling	oai:doaj.org-article:374e2f7ee4b743cebc2a0022380ea83b2021-12-02T15:34:00ZInterpretable dimensionality reduction of single cell transcriptome data with deep generative models10.1038/s41467-018-04368-52041-1723https://doaj.org/article/374e2f7ee4b743cebc2a0022380ea83b2018-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-04368-5https://doaj.org/toc/2041-1723Although single-cell transcriptome data are increasingly available, their interpretation remains a challenge. Here, the authors present a dimensionality reduction approach that preserves both the local and global neighbourhood structures in the data thus enhancing its interpretability.Jiarui DingAnne CondonSohrab P. ShahNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Jiarui Ding Anne Condon Sohrab P. Shah Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
description	Although single-cell transcriptome data are increasingly available, their interpretation remains a challenge. Here, the authors present a dimensionality reduction approach that preserves both the local and global neighbourhood structures in the data thus enhancing its interpretability.
format	article
author	Jiarui Ding Anne Condon Sohrab P. Shah
author_facet	Jiarui Ding Anne Condon Sohrab P. Shah
author_sort	Jiarui Ding
title	Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
title_short	Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
title_full	Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
title_fullStr	Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
title_full_unstemmed	Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
title_sort	interpretable dimensionality reduction of single cell transcriptome data with deep generative models
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/374e2f7ee4b743cebc2a0022380ea83b
work_keys_str_mv	AT jiaruiding interpretabledimensionalityreductionofsinglecelltranscriptomedatawithdeepgenerativemodels AT annecondon interpretabledimensionalityreductionofsinglecelltranscriptomedatawithdeepgenerativemodels AT sohrabpshah interpretabledimensionalityreductionofsinglecelltranscriptomedatawithdeepgenerativemodels
_version_	1718386953811918848

Interpretable dimensionality reduction of single cell transcriptome data with deep generative models

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