TransCluster: A Cell-Type Identification Method for single-cell RNA-Seq data using deep learning based on transformer

TransCluster: A Cell-Type Identification Method for single-cell RNA-Seq data using deep learning based on transformer

Recent advances in single-cell RNA sequencing (scRNA-seq) have accelerated the development of techniques to classify thousands of cells through transcriptome profiling. As more and more scRNA-seq data become available, supervised cell type classification methods using externally well-annotated sourc...

Full description

Bibliographic Details
Main Authors: Tao Song, Huanhuan Dai, Shuang Wang, Gan Wang, Xudong Zhang, Ying Zhang, Linfang Jiao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Genetics
Subjects:
cell-type identification
single-cell sequencing data
transformer
neural network
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.1038919/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.1038919/full

Similar Items