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Unsupervised domain adaptation methods for cross-species transfer of regulatory code signals.

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第一作者： Pavel,Latyshev

第一单位： Laboratory of Bioinformatics, Faculty of Computer Science, HSE University, Moscow, Russia.

作者： Pavel,Latyshev ^[1] ; Fedor,Pavlov ^[1] ; Alan,Herbert ^[2] ; Maria,Poptsova ^[1]

作者单位： Laboratory of Bioinformatics, Faculty of Computer Science, HSE University, Moscow, Russia. ^[1] Laboratory of Bioinformatics, Faculty of Computer Science, HSE University, Moscow, Russia.;InsideOutBio, Charlestown, MA, United States. ^[2]

关键词 Minimum Class Confusion domain adaptation domain adversarial networks histone marks transcription factors transfer learning versatile domain adaptation

DOI 10.3389/fdata.2023.1140663

PMID 37063486

发布时间 2023-04-18

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Unsupervised domain adaptation methods for cross-species transfer of regulatory code signals.

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Unsupervised domain adaptation methods for cross-species transfer of regulatory code signals.

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