NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data

NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data

The dramatic increase in amount and size of single-cell RNA sequencing data calls for more efficient and scalable dimensional reduction and visualization tools. Here, we design a GPU-accelerated method, NeuralEE, which aggregates the advantages of elastic embedding and neural network. We show that N...

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Bibliographic Details
Main Authors: Jiankang Xiong, Fuzhou Gong, Lin Wan, Liang Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Genetics
Subjects:
single-cell RNA sequencing
elastic embedding
neural networks
large-scale
stochastic optimization
parametric models
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00786/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2020.00786/full

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