scNAT: a deep learning method for integrating paired single-cell RNA and T cell receptor sequencing profiles

Abstract Many deep learning-based methods have been proposed to handle complex single-cell data. Deep learning approaches may also prove useful to jointly analyze single-cell RNA sequencing (scRNA-seq) and single-cell T cell receptor sequencing (scTCR-seq) data for novel discoveries. We developed sc...

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Detalhes bibliográficos

Principais autores:	Biqing Zhu, Yuge Wang, Li-Ting Ku, David van Dijk, Le Zhang, David A. Hafler, Hongyu Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2023-12-01
coleção:	Genome Biology
Assuntos:	scRNA-seq scTCR-seq Data integration Deep learning Variational autoencoder Clone expansion
Acesso em linha:	https://doi.org/10.1186/s13059-023-03129-y
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