scapGNN: A graph neural network-based framework for active pathway and gene module inference from single-cell multi-omics data.

Han, Xudong; Wang, Bing; Situ, Chenghao; Qi, Yaling; Zhu, Hui; Li, Yan; Guo, Xuejiang

Han, Xudong; Wang, Bing; Situ, Chenghao; Qi, Yaling; Zhu, Hui; Li, Yan; Guo, Xuejiang.

Afiliação

Han X; State Key Laboratory of Reproductive Medicine and Offspring Health, School of Medicine, Southeast University, Nanjing, China.
Wang B; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
Situ C; State Key Laboratory of Reproductive Medicine and Offspring Health, School of Medicine, Southeast University, Nanjing, China.
Qi Y; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
Zhu H; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
Li Y; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
Guo X; Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.

PLoS Biol ; 21(11): e3002369, 2023 Nov.

Article em En | MEDLINE | ID: mdl-37956172

Assuntos

Redes Reguladoras de Genes; Multiômica; Biologia Computacional/métodos; Redes Neurais de Computação

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Reguladoras de Genes / Multiômica Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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