Søren Brunak
Professor
Brunak Group
Blegdamsvej 3B
2200 København N
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Locating proteins in the cell using TargetP, SignalP and related tools
Emanuelsson, O., Brunak, Søren, von Heijne, G. & Nielsen, Henrik, 2007, In: Nature Protocols (Online). 2, 4, p. 953-71 19 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study
Eriksen, R., Perez, I. G., Posma, J. M., Haid, M., Sharma, S., Prehn, C., Thomas, L. E., Koivula, R. W., Bizzotto, R., Prehn, C., Mari, A., Giordano, G. N., Pavo, I., Schwenk, J. M., De Masi, F., Tsirigos, K. D., Brunak, S., Viñuela, A., Mahajan, A., McDonald, T. J. & 18 others, , Aug 2020, In: EBioMedicine. 58, p. 102932Research output: Contribution to journal › Journal article › Research › peer-review
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Dictionary construction and identification of possible adverse drug events in Danish clinical narrative text
Eriksson, R., Jensen, P. B., Pletscher-Frankild, S., Jensen, Lars Juhl & Brunak, Søren, 23 May 2013, In: JAMIA - Journal of the American Medical Informatics Association. 20, 5, p. 947-953 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Dose-specific adverse drug reaction identification in electronic patient records: temporal data mining in an inpatient psychiatric population
Eriksson, R., Werge, T., Jensen, Lars Juhl & Brunak, Søren, Apr 2014, In: Drug Safety. 37, 4, p. 237-47 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Discrepancies in listed adverse drug reactions in pharmaceutical product information supplied by the regulatory authorities in Denmark and the USA
Eriksson, R., Aagaard, L., Jensen, Lars Juhl, Borisova, L., Hørlück, D., Brunak, Søren & Hansen, E. H., 2014, In: Pharmacology Research & Perspectives. 2, 3, p. 1-10 e00038.Research output: Contribution to journal › Journal article › Research › peer-review
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Erratum to: Dose-Specific Adverse Drug Reaction Identification in Electronic Patient Records: Temporal Data Mining in an Inpatient Psychiatric Population
Eriksson, R., Werge, T., Jensen, Lars Juhl & Brunak, Søren, May 2014, In: Drug Safety. 37, 5, p. 379Research output: Contribution to journal › Journal article › Research › peer-review
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Cohort Profile: The Danish Blood Donor Study
Erikstrup, C., Sørensen, E., Nielsen, K. R., Bruun, M. T., Petersen, M. S., Rostgaard, K., Thørner, L. W., Larsen, M., Mikkelsen, S., Dinh, K. M., Schwinn, M., Rigas, A. S., Didriksen, M., Dowsett, J., von Stemann, J. H., Brodersen, T., Paulsen, I. W., Hindhede, L., Sækmose, S. G., Kaspersen, K. A. & 10 others, , 2023, In: International Journal of Epidemiology. 52, 3, p. e162-e171 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Classification of Left and Right Coronary Arteries in Coronary Angiographies Using Deep Learning
Eschen, Christian Kim, Banasik, Karina, Christensen, Alex Hørby, Chmura, Piotr Jaroslaw, Pedersen, F., Køber, Lars Valeur, Engstrøm, Thomas, Dahl, A. B., Brunak, Søren & Bundgård, Henning, 2022, In: Electronics (Switzerland). 11, 13, 9 p., 2087.Research output: Contribution to journal › Journal article › Research › peer-review
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Implementation and comparison of two text mining methods with a standard pharmacovigilance method for signal detection of medication errors
Eskildsen, N. K., Eriksson, R., Christensen, S. B., Aghassipour, T. S., Bygsø, M. J., Brunak, Søren & Hansen, S. L., 2020, In: BMC Medical Informatics and Decision Making. 20, 1, 11 p., 94.Research output: Contribution to journal › Journal article › Research › peer-review
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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. 1098-1107Research output: Contribution to journal › Journal article › Research › peer-review
ID: 12895347
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2931
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Identification of odorant-receptor interactions by global mapping of the human odorome
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2867
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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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1246
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A human gut microbial gene catalogue established by metagenomic sequencing
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