DeepMILO: a deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structure

Non-coding variants have been shown to be related to disease by alteration of 3D genome structures. We propose a deep learning method, DeepMILO, to predict the effects of variants on CTCF/cohesin-mediated insulator loops. Application of DeepMILO on variants from whole-genome sequences of 1834 patien...

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Detalles Bibliográficos
Autores principales: Trieu, Tuan, Martinez-Fundichely, Alexander, Khurana, Ekta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7098089/
https://www.ncbi.nlm.nih.gov/pubmed/32216817
http://dx.doi.org/10.1186/s13059-020-01987-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7098089/
https://www.ncbi.nlm.nih.gov/pubmed/32216817
http://dx.doi.org/10.1186/s13059-020-01987-4

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