Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis

MOTIVATION: The transcriptomic data are being frequently used in the research of biomarker genes of different diseases and biological states. The most common tasks there are the data harmonization and treatment outcome prediction. Both of them can be addressed via the style transfer approach. Either...

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Detalles Bibliográficos
Autores principales: Russkikh, Nikolai, Antonets, Denis, Shtokalo, Dmitry, Makarov, Alexander, Vyatkin, Yuri, Zakharov, Alexey, Terentyev, Evgeny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755413/
https://www.ncbi.nlm.nih.gov/pubmed/33026062
http://dx.doi.org/10.1093/bioinformatics/btaa624

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755413/
https://www.ncbi.nlm.nih.gov/pubmed/33026062
http://dx.doi.org/10.1093/bioinformatics/btaa624

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