Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis
Nikolay Russkikh, Денис Антонец, Dmitry N. Shtokalo, Alexander Makarov, Yuri V. Vyatkin, Alexey Zakharov, Evgeny Terentyev
This paper applies style transfer methods to RNA-Seq data harmonization and treatment outcome prediction, showing improved style and semantics prediction accuracy compared to existing approaches.
Bioinformatics · Jul 9, 2020Peer-reviewedBioinformatics