SCALE method for single-cell ATAC-seq analysis via latent feature extraction

Single-cell ATAC-seq data is challenging to analyse for reasons such as high dimensionality and sparsity. Here, the authors develop SCALE, a deep learning method that leverages latent feature extraction for various tasks of scATACseq data analysis.

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Autores principales:	Lei Xiong, Kui Xu, Kang Tian, Yanqiu Shao, Lei Tang, Ge Gao, Michael Zhang, Tao Jiang, Qiangfeng Cliff Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9307133826f6483aacbf4da911ec0cc4
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spelling	oai:doaj.org-article:9307133826f6483aacbf4da911ec0cc42021-12-02T15:35:14ZSCALE method for single-cell ATAC-seq analysis via latent feature extraction10.1038/s41467-019-12630-72041-1723https://doaj.org/article/9307133826f6483aacbf4da911ec0cc42019-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-12630-7https://doaj.org/toc/2041-1723Single-cell ATAC-seq data is challenging to analyse for reasons such as high dimensionality and sparsity. Here, the authors develop SCALE, a deep learning method that leverages latent feature extraction for various tasks of scATACseq data analysis.Lei XiongKui XuKang TianYanqiu ShaoLei TangGe GaoMichael ZhangTao JiangQiangfeng Cliff ZhangNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Lei Xiong Kui Xu Kang Tian Yanqiu Shao Lei Tang Ge Gao Michael Zhang Tao Jiang Qiangfeng Cliff Zhang SCALE method for single-cell ATAC-seq analysis via latent feature extraction
description	Single-cell ATAC-seq data is challenging to analyse for reasons such as high dimensionality and sparsity. Here, the authors develop SCALE, a deep learning method that leverages latent feature extraction for various tasks of scATACseq data analysis.
format	article
author	Lei Xiong Kui Xu Kang Tian Yanqiu Shao Lei Tang Ge Gao Michael Zhang Tao Jiang Qiangfeng Cliff Zhang
author_facet	Lei Xiong Kui Xu Kang Tian Yanqiu Shao Lei Tang Ge Gao Michael Zhang Tao Jiang Qiangfeng Cliff Zhang
author_sort	Lei Xiong
title	SCALE method for single-cell ATAC-seq analysis via latent feature extraction
title_short	SCALE method for single-cell ATAC-seq analysis via latent feature extraction
title_full	SCALE method for single-cell ATAC-seq analysis via latent feature extraction
title_fullStr	SCALE method for single-cell ATAC-seq analysis via latent feature extraction
title_full_unstemmed	SCALE method for single-cell ATAC-seq analysis via latent feature extraction
title_sort	scale method for single-cell atac-seq analysis via latent feature extraction
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/9307133826f6483aacbf4da911ec0cc4
work_keys_str_mv	AT leixiong scalemethodforsinglecellatacseqanalysisvialatentfeatureextraction AT kuixu scalemethodforsinglecellatacseqanalysisvialatentfeatureextraction AT kangtian scalemethodforsinglecellatacseqanalysisvialatentfeatureextraction AT yanqiushao scalemethodforsinglecellatacseqanalysisvialatentfeatureextraction AT leitang scalemethodforsinglecellatacseqanalysisvialatentfeatureextraction AT gegao scalemethodforsinglecellatacseqanalysisvialatentfeatureextraction AT michaelzhang scalemethodforsinglecellatacseqanalysisvialatentfeatureextraction AT taojiang scalemethodforsinglecellatacseqanalysisvialatentfeatureextraction AT qiangfengcliffzhang scalemethodforsinglecellatacseqanalysisvialatentfeatureextraction
_version_	1718386612424933376

SCALE method for single-cell ATAC-seq analysis via latent feature extraction

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