Anders Krogh

Anders Krogh

Professor


  1. 2023
  2. 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 journalJournal articlepeer-review

  3. 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 journalJournal articlepeer-review

  4. 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 journalJournal articlepeer-review

  5. 2022
  6. 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 journalJournal articlepeer-review

  7. 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 journalJournal articlepeer-review

  8. 2021
  9. 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 journalJournal articlepeer-review

  10. Published

    High-throughput proteomics of breast cancer interstitial fluid: identification of tumor subtype-specific serologically relevant biomarkers

    Terkelsen, T., Pernemalm, M., Gromov, P., Borresen-Dale, A., Krogh, Anders, Haakensen, V. D., Lethio, J., Papaleo, E. & Gromova, I., 2021, In: Molecular Oncology. 15, 2, p. 429-461 33 p.

    Research output: Contribution to journalJournal articlepeer-review

  11. 2020
  12. Published

    CAncer bioMarker Prediction Pipeline (CAMPP) - A standardized framework for the analysis of quantitative biological data

    Terkelsen, T., Krogh, Anders & Papaleo, E., 2020, In: PLOS Computational Biology. 16, 3, 20 p., e1007665.

    Research output: Contribution to journalJournal articlepeer-review

  13. Published

    Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

    Terkelsen, T., Russo, F., Gromov, P., Haakensen, V. D., Brunak, Søren, Gromova, I., Krogh, Anders & Papaleo, E., 2020, In: Breast Cancer Research. 22, 1, 36 p., 73.

    Research output: Contribution to journalJournal articlepeer-review

  14. Published

    Taxonomic classification method for metagenomics based on core protein families with Core-Kaiju

    Tovo, A., Menzel, P., Krogh, Anders, Cosentino Lagomarsino, M. & Suweis, S., 2020, In: Nucleic Acids Research. 48, 16, 13 p., e93.

    Research output: Contribution to journalJournal articlepeer-review

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