Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data

Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data

Abstract Background Single cell RNA sequencing (scRNA-seq) is applied to assay the individual transcriptomes of large numbers of cells. The gene expression at single-cell level provides an opportunity for better understanding of cell function and new discoveries in biomedical areas. To ensure that t...

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Bibliographic Details
Main Authors: Jiajie Peng, Xiaoyu Wang, Xuequn Shang
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Bioinformatics
Subjects:
Single cell RNA-seq data
Gene ontology
Autoencoder
Neural network
Online Access:http://link.springer.com/article/10.1186/s12859-019-2769-6

Internet

http://link.springer.com/article/10.1186/s12859-019-2769-6

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