Søren Brunak
Professor
Brunak Group
Blegdamsvej 3B
2200 København N
- Published
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records
Thorsen-Meyer, H., Nielsen, A. B., Nielsen, A. P., Kaas-Hansen, Benjamin Skov, Toft, P., Schierbeck, J., Strøm, T., Chmura, Piotr Jaroslaw, Heimann, M., Dybdahl, L., Spangsege, L., Hulsen, P., Belling, K., Brunak, Søren & Perner, Anders, 2020, In: The Lancet Digital Health. 2, 4, p. e179–91 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
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The SH2 domain interaction landscape
Tinti, M., Kiemer, L., Costa, S., Miller, M. L., Sacco, F., Olsen, Jesper Velgaard, Carducci, M., Paoluzi, S., Langone, F., Workman, C., Blom, N., Machida, K., Thompson, C. M., Schutkowski, M., Brunak, Søren, Mann, Matthias, Mayer, B. J., Castagnoli, L. & Cesareni, G., 2013, In: Cell Reports. 3, 4, p. 1293-1305 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
The implications of alternative splicing in the ENCODE protein complement
Tress, M. L., Martelli, P. L., Frankish, A., Reeves, G. A., Wesselink, J. J., Yeats, C., Olason, P. I., Albrecht, M., Hegyi, H., Giorgetti, A., Raimondo, D., Lagarde, J., Laskowski, R. A., López, G., Sadowski, M. I., Watson, J. D., Fariselli, P., Rossi, I., Nagy, A., Kai, W. & 26 others, , 2007, In: Proceedings of the National Academy of Sciences of the United States of America. 104, 13, p. 5495-500 6 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Identifying the druggable interactome of EWS-FLI1 reveals MCL-1 dependent differential sensitivities of Ewing sarcoma cells to apoptosis inducers
Tsafou, K., Katschnig, A. M., Radic-Sarikas, B., Mutz, C. N., Iljin, K., Schwentner, R., Kauer, M. O., Mühlbacher, K., Aryee, D. N. T., Westergaard, David, Haapa-Paananen, S., Fey, V., Superti-Furga, G., Toretsky, J., Brunak, Søren & Kovar, H., 2018, In: OncoTarget. 9, 57, p. 31018-31031 14 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Profiles of glucose metabolism in different prediabetes phenotypes, classified by fasting glycemia, 2-hour OGTT, glycated hemoglobin, and 1-hour OGTT: An IMI DIRECT study
Tura, A., Grespan, E., Göbl, C. S., Koivula, R. W., Franks, P. W., Pearson, E. R., Walker, M., Forgie, I. M., Giordano, G. N., Pavo, I., Ruetten, H., Dermitzakis, E. T., McCarthy, M. I., Pedersen, O., Schwenk, J. M., Adamski, J., De Masi, F., Tsirigos, K. D., Brunak, S., Viñuela, A. & 17 others, , 2021, In: Diabetes. 70, 6, db210227.Research output: Contribution to journal › Journal article › Research › peer-review
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Cross-tissue transcriptome-wide association studies identify susceptibility genes shared between schizophrenia and inflammatory bowel disease
Uellendahl-Werth, F., Maj, C., Borisov, O., Juzenas, S., Wacker, E. M., Jorgensen, I. F., Steiert, T. A., Bej, S., Krawitz, P., Hoffmann, P., Schramm, C., Wolkenhauer, O., Banasik, K., Brunak, S., Schreiber, S., Karlsen, T. H., Degenhardt, F., Noethen, M., Franke, A., Folseraas, T. & 1 others, , 2022, In: Communications Biology. 5, 15 p., 80.Research output: Contribution to journal › Journal article › Research › peer-review
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The protein kinase SIK downregulates the polarity protein Par3
Vanlandewijck, M., Dadras, M. S., Lomnytska, M., Mahzabin, T., Miller, M. L., Busch, C., Brunak, Søren, Heldin, C. & Moustakas, A., 2018, In: OncoTarget. 9, 5, p. 5716-5735 20 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Predictive utilities of lipid traits, lipoprotein subfractions and other risk factors for incident diabetes: a machine learning approach in the Diabetes Prevention Program
Diabetes Prevention Program Research Group, D. P. P. R. G., Mar 2021, In: B M J Open Diabetes Research & Care. 9, 1, 12 p., e001953.Research output: Contribution to journal › Journal article › Research › peer-review
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Lipidomic profiles, lipid trajectories and clinical biomarkers in female elite endurance athletes
V Varga, Tibor, Ali, A., Herrera, J. A. R., Ahonen, L. L., Mattila, I. M., Al-Sari, N. H., Legido-Quigley, C., Skouby, Sven O., Brunak, Søren & Tornberg, Å. B., 2020, In: Scientific Reports. 10, 9 p., 2349.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
wKinMut-2: Identification and Interpretation of Pathogenic Variants in Human Protein Kinases
Vazquez, M., Pons, T., Brunak, Søren, Valencia, A. & Izarzugaza, J. M. G., Jan 2016, In: Human Mutation. 37, 1, p. 36-42 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 12895347
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Identification of odorant-receptor interactions by global mapping of the human odorome
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Porcine transcriptome analysis based on 97 non-normalized cDNA libraries and assembly of 1,021,891 expressed sequence tags
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A human gut microbial gene catalogue established by metagenomic sequencing
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