Inferring Gene Regulatory Networks From Single-Cell Transcriptomic Data Using Bidirectional RNN

Accurate inference of gene regulatory rules is critical to understanding cellular processes. Existing computational methods usually decompose the inference of gene regulatory networks (GRNs) into multiple subproblems, rather than detecting potential causal relationships simultaneously, which limits...

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Detalles Bibliográficos
Autores principales: Gan, Yanglan, Hu, Xin, Zou, Guobing, Yan, Cairong, Xu, Guangwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178250/
https://www.ncbi.nlm.nih.gov/pubmed/35692809
http://dx.doi.org/10.3389/fonc.2022.899825

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178250/
https://www.ncbi.nlm.nih.gov/pubmed/35692809
http://dx.doi.org/10.3389/fonc.2022.899825

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