Viktoria Schuster
Postdoc
Machine Learning
Universitetsparken 1
2100 København Ø
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- 2023
- Published
N-of-one differential gene expression without control samples using a deep generative model
Prada Luengo, Inigo, Schuster, Viktoria, Liang, Yuhu, Terkelsen, Thilde Bagger, Sora, Valentina & Krogh, Anders, 2023, In: Genome Biology. 24, 1, 17 p., 263.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data
Schuster, Viktoria & Krogh, Anders, 2023, In: Bioinformatics. 39, 9, 14 p., btad497.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 250641482
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A manifold learning perspective on representation learning: Learning decoder and representations without an encoder
Research output: Contribution to journal › Journal article › Research › peer-review
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31
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NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data
Research output: Contribution to journal › Journal article › Research › peer-review
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19
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N-of-one differential gene expression without control samples using a deep generative model
Research output: Contribution to journal › Journal article › Research › peer-review
Published