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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| 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 |