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

Abstract 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 sa...

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Vydané v:	Nucleic acids research Ročník 51; číslo 13; s. 6578 - 6592
Hlavní autori:	Yang, Yongjian, Li, Guanxun, Zhong, Yan, Xu, Qian, Chen, Bo-Jia, Lin, Yu-Te, Chapkin, Robert S, Cai, James J
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Oxford University Press 21.07.2023
Predmet:	Animals Computational Biology Gene Expression Profiling Gene Expression Regulation Gene Knockout Techniques Gene Regulatory Networks Sequence Analysis, RNA Single-Cell Analysis
ISSN:	0305-1048, 1362-4962, 1362-4962
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