A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data

A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data

Single-cell RNA sequencing (scRNA-seq) is a high-throughput sequencing technology performed at the level of an individual cell, which can have a potential to understand cellular heterogeneity. However, scRNA-seq data are high-dimensional, noisy, and sparse data. Dimension reduction is an important s...

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Bibliographic Details
Main Authors: Ruizhi Xiang, Wencan Wang, Lei Yang, Shiyuan Wang, Chaohan Xu, Xiaowen Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Genetics
Subjects:
single-cell RNA-seq
dimension reduction
benchmark
sequences analysis
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.646936/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2021.646936/full

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