Viktoria Schuster
Postdoc
Machine Learning
Universitetsparken 1
2100 København Ø
1 - 2 out of 2Page size: 10
- 2021
- Published
A manifold learning perspective on representation learning: Learning decoder and representations without an encoder
Schuster, Viktoria & Krogh, Anders, Nov 2021, In: Entropy. 23, 11, 14 p., 1403.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data
Montemurro, A., Schuster, Viktoria, Povlsen, H. R., Bentzen, A. K., Jurtz, V., Chronister, W. D., Crinklaw, A., Hadrup, S. R., Winther, Ole, Peters, B., Jessen, L. E. & Nielsen, M., 2021, In: Communications Biology . 4, 13 p., 1060.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 250641482
Most downloads
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48
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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
Published -
44
downloads
A manifold learning perspective on representation learning: Learning decoder and representations without an encoder
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
30
downloads
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