Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach

BACKGROUND: Deep learning is an active bioinformatics artificial intelligence field that is useful in solving many biological problems, including predicting altered epigenetics such as DNA methylation regions. Deep learning (DL) can learn an informative representation that addresses the need for def...

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Detalles Bibliográficos
Autores principales: Mavaie, Pegah, Holder, Lawrence, Beck, Daniel, Skinner, Michael K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630850/
https://www.ncbi.nlm.nih.gov/pubmed/34847877
http://dx.doi.org/10.1186/s12859-021-04491-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630850/
https://www.ncbi.nlm.nih.gov/pubmed/34847877
http://dx.doi.org/10.1186/s12859-021-04491-z

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