Søren Brunak

Søren Brunak

Professor


  1. 2019
  2. Published

    Population-wide disease trajectories in ischaemic heart disease

    Haue, Amalie Dahl, Jørgensen, Isabella Friis, Christensen, A. H. C., Simon, C. S., Haakonsen, M. L. H., Russo, F. R., Rodriguez, C. L. R., Orozco, A. A. O., Siggard, T. S., Banasik, Karina, Weeke, P. E. W., Westergaard, David, Moseley, P. L. M., Bundgård, Henning & Brunak, Søren, Oct 2019, In: European Heart Journal. 40, S1, p. 1214-1214 1 p.

    Research output: Contribution to journalConference abstract in journalResearch

  3. Published

    DBDS Genomic Cohort, a prospective and comprehensive resource for integrative and temporal analysis of genetic, environmental and lifestyle factors affecting health of blood donors

    Hansen, T. F., Banasik, K., Erikstrup, C., Pedersen, O. B., Westergaard, D., Chmura, P. J., Nielsen, K., Thørner, L., Hjalgrim, H., Paarup, H., Larsen, M. A. H., Petersen, M., Jennum, P., Andersen, S., Nyegaard, M., Jemec, G. B. E., Olesen, J., Werge, T., Johansson, P. I., Sørensen, E. & 3 others, Brunak, Søren, Ullum, H. & Burgdorf, Kristoffer Sølvsten, 9 Jun 2019, In: BMJ Open. 9, 6, p. 1-7 7 p., e028401.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Infrastruktur for klinik og forskning i Nationalt Genom Center

    Ørntoft, T. F., Brunak, Søren, Jespergaard, C., Heickendorff, L., Grønkjær, K. & Løngreen, P., 1 Apr 2019, In: Ugeskrift for Laeger. 181, 7A

    Research output: Contribution to journalJournal articleCommunication

  5. Published

    SignalP 5.0 improves signal peptide predictions using deep neural networks

    Armenteros, J. J. A., Tsirigos, Konstantinos, Sønderby, C. K., Petersen, T. N., Winther, Ole, Brunak, Søren, von Heijne, G. & Nielsen, H., 18 Feb 2019, In: Nature Biotechnology. 37, 4, p. 420-423

    Research output: Contribution to journalJournal articleCommunication

  6. Published

    A Brief History of Protein Sorting Prediction

    Nielsen, H., Tsirigos, Konstantinos, Brunak, Søren & von Heijne, G., 2019, In: The Protein Journal. 38, 3, p. 200-216 17 p.

    Research output: Contribution to journalReviewResearchpeer-review

  7. Published

    A generic deep convolutional neural network framework for prediction of receptor–ligand interactions - NetPhosPan: application to kinase phosphorylation prediction

    Fenoy, E., Izarzugaza, J. M. G., Jurtz, V., Brunak, Søren & Nielsen, M., 2019, In: Bioinformatics. 35, 7, p. 1098-1107

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    A large-cohort, longitudinal study determines pre-cancer disease routes across different cancer types

    Hjaltelin, Jessica Xin, Helleberg, M., Jensen, A. B., Brunak, Søren & Lundgren, Jens, 2019, In: Cancer Research. 79, 4, p. 864-872

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. Published

    Combined Ensemble Docking and Machine Learning in Identification of Therapeutic Agents with Potential Inhibitory Effect on Human CES1

    Briand, E., Thomsen, Ragnar, Linnet, Kristian, Rasmussen, H. B., Brunak, Søren & Taboureau, O., 2019, In: Molecules. 24, 15, 17 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Published

    Combing the Hairball: Improving Visualization of miRNA-Target Interaction Networks

    Russo, F., Hjaltelin, Jessica Xin, Romero Herrera, J. A. & Brunak, Søren, 2019, MicroRNA Target Identification: Methods and Protocols. Laganà, A. (ed.). Humana Press, p. 279-289 11 p. (Methods in Molecular Biology, Vol. 1970).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  11. Published

    Comorbidity landscape of the Danish patient population affected by chromosome abnormalities

    Jørgensen, Isabella Friis, Russo, F., Jensen, A. B., Westergaard, David, Lademann, M., Hjaltelin, Jessica Xin, Brunak, Søren & Belling, K., 2019, In: Genetics In Medicine. 21, 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 12895347