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"Style transfer with variational autoencoders is a promising approach to ..."

Nikolay Russkikh et al. (2020)

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DOI: 10.1093/BIOINFORMATICS/BTAA624

access: open

type: Journal Article

metadata version: 2021-06-01

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  dblp key:
  - journals/bioinformatics/RusskikhASMVZT20
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  - https://dblp.org/rec/journals/bioinformatics/RusskikhASMVZT20
Nikolay Russkikh, Denis V. Antonets, Dmitry Shtokalo, Alexander Makarov, Yuri Vyatkin, Alexey Zakharov, Evgeny Terentyev:
Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis. Bioinform. 36(20): 5076-5085 (2020)

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