Ensemble dimensionality reduction and feature gene extraction for single-cell RNA-seq data

Dimensionality reduction is used to make the analysis of single-cell RNA sequencing data more efficient. Here the authors propose a method, EDGE, which simultaneously carries out dimensionality reduction and feature gene extraction.

Bibliographic Details
Main Authors:	Xiaoxiao Sun, Yiwen Liu, Lingling An
Format:	Article
Language:	English
Published:	Nature Publishing Group 2020-11-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-020-19465-7

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spelling	doaj-1d299ddc8b48413b83824aa45ed590a82021-05-11T08:59:03ZengNature Publishing GroupNature Communications2041-17232020-11-011111910.1038/s41467-020-19465-7Ensemble dimensionality reduction and feature gene extraction for single-cell RNA-seq dataXiaoxiao Sun0Yiwen Liu1Lingling An2Department of Epidemiology and Biostatistics, University of ArizonaDepartment of Epidemiology and Biostatistics, University of ArizonaDepartment of Epidemiology and Biostatistics, University of ArizonaDimensionality reduction is used to make the analysis of single-cell RNA sequencing data more efficient. Here the authors propose a method, EDGE, which simultaneously carries out dimensionality reduction and feature gene extraction.https://doi.org/10.1038/s41467-020-19465-7
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Xiaoxiao Sun Yiwen Liu Lingling An
spellingShingle	Xiaoxiao Sun Yiwen Liu Lingling An Ensemble dimensionality reduction and feature gene extraction for single-cell RNA-seq data Nature Communications
author_facet	Xiaoxiao Sun Yiwen Liu Lingling An
author_sort	Xiaoxiao Sun
title	Ensemble dimensionality reduction and feature gene extraction for single-cell RNA-seq data
title_short	Ensemble dimensionality reduction and feature gene extraction for single-cell RNA-seq data
title_full	Ensemble dimensionality reduction and feature gene extraction for single-cell RNA-seq data
title_fullStr	Ensemble dimensionality reduction and feature gene extraction for single-cell RNA-seq data
title_full_unstemmed	Ensemble dimensionality reduction and feature gene extraction for single-cell RNA-seq data
title_sort	ensemble dimensionality reduction and feature gene extraction for single-cell rna-seq data
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2020-11-01
description	Dimensionality reduction is used to make the analysis of single-cell RNA sequencing data more efficient. Here the authors propose a method, EDGE, which simultaneously carries out dimensionality reduction and feature gene extraction.
url	https://doi.org/10.1038/s41467-020-19465-7
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Ensemble dimensionality reduction and feature gene extraction for single-cell RNA-seq data

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