Gene knockout inference with variational graph autoencoder learning single-cell gene regulatory networks

In this paper, we introduce Gene Knockout Inference (GenKI), a virtual knockout (KO) tool for gene function prediction using single-cell RNA sequencing (scRNA-seq) data in the absence of KO samples when only wild-type (WT) samples are available. Without using any information from real KO samples, Ge...

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Detalles Bibliográficos
Autores principales: Yang, Yongjian, Li, Guanxun, Zhong, Yan, Xu, Qian, Chen, Bo-Jia, Lin, Yu-Te, Chapkin, Robert S, Cai, James J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359630/
https://www.ncbi.nlm.nih.gov/pubmed/37246643
http://dx.doi.org/10.1093/nar/gkad450

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359630/
https://www.ncbi.nlm.nih.gov/pubmed/37246643
http://dx.doi.org/10.1093/nar/gkad450

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