Graph embedding and Gaussian mixture variational autoencoder network for end-to-end analysis of single-cell RNA sequencing data.

Xu, Junlin; Xu, Jielin; Meng, Yajie; Lu, Changcheng; Cai, Lijun; Zeng, Xiangxiang; Nussinov, Ruth; Cheng, Feixiong

Xu, Junlin; Xu, Jielin; Meng, Yajie; Lu, Changcheng; Cai, Lijun; Zeng, Xiangxiang; Nussinov, Ruth; Cheng, Feixiong.

Afiliação

Xu J; College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410082, China.
Xu J; Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
Meng Y; College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410082, China.
Lu C; College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410082, China.
Cai L; College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410082, China.
Zeng X; College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan 410082, China.
Nussinov R; Computational Structural Biology Section, Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute at Frederick, Frederick, MD 21702, USA.
Cheng F; Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.

Cell Rep Methods ; 3(1): 100382, 2023 01 23.

Article em En | MEDLINE | ID: mdl-36814845

Assuntos

Antivirais; Análise de Célula Única; Humanos; Análise de Célula Única/métodos; Redes Reguladoras de Genes/genética; Modelos Estatísticos; Análise de Sequência de RNA/métodos

Palavras-chave

Alzheimer's disease; deep learning; disease-associated astrocyte; scRNA-seq; single cell/nuclei; variational autoencoding network

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Antivirais / Análise de Célula Única Limite: Humans Idioma: En Revista: Cell Rep Methods Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google