Cell type–specific interpretation of noncoding variants using deep learning–based methods

Interpretation of noncoding genomic variants is one of the most important challenges in human genetics. Machine learning methods have emerged recently as a powerful tool to solve this problem. State-of-the-art approaches allow prediction of transcriptional and epigenetic effects caused by noncoding...

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Detalles Bibliográficos
Autores principales: Sindeeva, Maria, Chekanov, Nikolay, Avetisian, Manvel, Shashkova, Tatiana I, Baranov, Nikita, Malkin, Elian, Lapin, Alexander, Kardymon, Olga, Fishman, Veniamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041527/
https://www.ncbi.nlm.nih.gov/pubmed/36971292
http://dx.doi.org/10.1093/gigascience/giad015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041527/
https://www.ncbi.nlm.nih.gov/pubmed/36971292
http://dx.doi.org/10.1093/gigascience/giad015

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