Anders Krogh

Anders Krogh

Professor

ORCID: 0000-0002-5147-6282

Publication year:
All
101 - 106 out of 106Page size: 25
  1. 2021
  2. 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

  3. 2022
  4. Published

    Context dependency of nucleotide probabilities and variants in human DNA

    Liang, Yuhu, Grønbæk, Christian, Fariselli, P. & Krogh, Anders, 2022, In: BMC Genomics. 23, 1, 15 p., 87.

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. Published

    Context dependent prediction in DNA sequence using neural networks

    Grønbæk, Christian, Liang, Yuhu, Elliott, Desmond & Krogh, Anders, 2022, In: PeerJ. 10, 22 p., e13666.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. 2023
  7. 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

  8. Published

    Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology

    D'Amico, S., Dall'Olio, D., Sala, C., Dall'Olio, L., Sauta, E., Zampini, M., Asti, G., Lanino, L., Maggioni, G., Campagna, A., Ubezio, M., Russo, A., Bicchieri, M. E., Riva, E., Tentori, C. A., Travaglino, E., Morandini, P., Savevski, V., Santoro, A., Prada-Luengo, I. & 9 others, Krogh, Anders, Santini, V., Kordasti, S., Platzbecker, U., Diez-Campelo, M., Fenaux, P., Haferlach, T., Castellani, G. & Della Porta, M. G., 2023, In: JCO clinical cancer informatics. 7, p. 1-22 e2300021.

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. 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

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ID: 9738