| NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data A Montemurro, V Schuster, HR Povlsen, AK Bentzen, V Jurtz, ... Communications biology 4 (1), 1060, 2021 | 133 | 2021 |
| A manifold learning perspective on representation learning: Learning decoder and representations without an encoder V Schuster, A Krogh Entropy, 2021 | 4 | 2021 |
| The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data V Schuster, A Krogh Bioinformatics 39 (9), btad497, 2023 | 2 | 2023 |
| N-of-one differential gene expression without control samples using a deep generative model I Prada-Luengo, V Schuster, Y Liang, T Terkelsen, V Sora, A Krogh bioRxiv, 2023.01. 27.525843, 2023 | 1 | 2023 |
| multiDGD: A versatile deep generative model for multi-omics data V Schuster, E Dann, A Krogh, S Teichmann bioRxiv, 2023.08. 23.554420, 2023 | | 2023 |
| The deep generative decoder: Using MAP estimates of representations V Schuster, A Krogh arXiv preprint arXiv:2110.06672, 2021 | | 2021 |
Anders KroghDepartment of Computer Science and Center for Health Data Science, University of CopenhagenVerified email at di.ku.dk
