Prediction of enhancer–promoter interactions using the cross-cell type information and domain adversarial neural network

BACKGROUND: Enhancer–promoter interactions (EPIs) play key roles in transcriptional regulation and disease progression. Although several computational methods have been developed to predict such interactions, their performances are not satisfactory when training and testing data from different cell...

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Detalles Bibliográficos
Autores principales: Jing, Fang, Zhang, Shao-Wu, Zhang, Shihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648314/
https://www.ncbi.nlm.nih.gov/pubmed/33160328
http://dx.doi.org/10.1186/s12859-020-03844-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648314/
https://www.ncbi.nlm.nih.gov/pubmed/33160328
http://dx.doi.org/10.1186/s12859-020-03844-4

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