Cargando…
A gene regulatory network inference model based on pseudo-siamese network
MOTIVATION: Gene regulatory networks (GRNs) arise from the intricate interactions between transcription factors (TFs) and their target genes during the growth and development of organisms. The inference of GRNs can unveil the underlying gene interactions in living systems and facilitate the investig...
Autores principales: | Wang, Qian, Guo, Maozu, Chen, Jian, Duan, Ran |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122305/ https://www.ncbi.nlm.nih.gov/pubmed/37085776 http://dx.doi.org/10.1186/s12859-023-05253-9 |
Ejemplares similares
-
Cross-domain few-shot learning based on pseudo-Siamese neural network
por: Gong, Yuxuan, et al.
Publicado: (2023) -
Inference of Gene Regulatory Network Based on Local Bayesian Networks
por: Liu, Fei, et al.
Publicado: (2016) -
An improved Bayesian network method for reconstructing gene regulatory network based on candidate auto selection
por: Xing, Linlin, et al.
Publicado: (2017) -
Inferring gene regulatory networks by thermodynamic modeling
por: Chen, Chieh-Chun, et al.
Publicado: (2008) -
Validation of gene regulatory network inference based on controllability
por: Qian, Xiaoning, et al.
Publicado: (2013)