Lars Juhl Jensen
Lars Juhl Jensen

professor, group leader


  1. 2019
  2. Published

    A Guide to Dictionary-Based Text Mining

    Cook, H. V. & Jensen, Lars Juhl, 2019, Bioinformatics and Drug Discovery. Larson, R. S. & Oprea, T. I. (eds.). 3 ed. Humana Press, Vol. 1939. p. 73-89 17 p. (Methods in Molecular Biology).

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

  3. Published

    Analysis of Predicted Host-Parasite Interactomes Reveals Commonalities and Specificities Related to Parasitic Lifestyle and Tissues Tropism

    Cuesta-Astroz, Y., Santos Delgado, Alberto, Oliveira, G. & Jensen, Lars Juhl, 2019, In : Frontiers in Immunology. 10, 17 p., 212.

    Research output: Contribution to journalJournal article

  4. Published

    CoCoScore: Context-aware co-occurrence scoring for text mining applications using distant supervision

    Junge, A. & Jensen, Lars Juhl, 2019, In : Bioinformatics. 8 p.

    Research output: Contribution to journalJournal article

  5. Published

    Cytoscape stringApp: Network analysis and visualization of proteomics data

    Doncheva, Nadezhda Tsankova, Morris, J., Gorodkin, Jan & Jensen, Lars Juhl, 2019, In : Journal of Proteome Research. 18, 2, p. 623-632

    Research output: Contribution to journalJournal article

  6. Published

    Design, implementation, and operation of a rapid, robust named entity recognition web service

    Pletscher-Frankild, S. & Jensen, Lars Juhl, 2019, In : Journal of Cheminformatics. 11, 6 p., 19.

    Research output: Contribution to journalJournal article

  7. Published

    Identification of hyper-rewired genomic stress non-oncogene addiction genes across 15 cancer types

    Hjaltelin, Jessica Xin, Izarzugaza, J. M. G., Jensen, Lars Juhl, Russo, Francesco, Westergaard, David & Brunak, Søren, 2019, In : npj Systems Biology and Applications. 5, 10 p., 27.

    Research output: Contribution to journalJournal article

  8. Published

    Improving Peptide-Spectrum Matching by Fragmentation Prediction Using Hidden Markov Models

    Kirik, U., Refsgaard, J. C. & Jensen, Lars Juhl, 2019, In : Journal of Proteome Research. 18, 6, p. 2385-2396

    Research output: Contribution to journalJournal article

  9. Published

    Inferring disease-associated long non-coding RNAs using genome - wide tissue expression profiles

    Pan, X., Jensen, Lars Juhl & Gorodkin, Jan, 2019, In : Bioinformatics. 35, 9, p. 1494-1502 9 p.

    Research output: Contribution to journalJournal article

  10. Published

    Linking glycemic dysregulation in diabetes to symptoms, comorbidities, and genetics through EHR data mining

    Kirk, I. K., Simon, C., Banasik, Karina, Holm, Peter Christoffer, Haue, Amalie Dahl, Jensen, P. B., Jensen, Lars Juhl, Leal Rodriguez, Cristina, Pedersen, M. K., Eriksson, Robert, Andersen, H. U., Almdal, Thomas Peter, Bork-Jensen, J., Grarup, Niels, Borch-Johnsen, K., Pedersen, Oluf Borbye, Pociot, Flemming, Hansen, Torben, Bergholdt, R., Rossing, Peter & Brunak, Søren, 2019, In : eLife. 8, 19 p., e44941.

    Research output: Contribution to journalJournal article

  11. Published

    Oncogenic Mutations Rewire Signaling Pathways by Switching Protein Recruitment to Phosphotyrosine Sites

    Lundby, Alicia, Franciosa, Giulia, Emdal, Kristina Bennet, Refsgaard, J. C., Gnosa, Sebastian Peter, Bekker-Jensen, D. B., Secher, A., Maurya, S. R., Paul, I., Mendez, B. L., Kelstrup, C. D., Francavilla, C., Kveiborg, Marie, Montoya, Guillermo, Jensen, Lars Juhl & Olsen, Jesper Velgaard, 2019, In : Cell. 179, 2, p. 543-560

    Research output: Contribution to journalJournal article

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