Skip to sub menu Skip to content
University of Skövde, link to startpage
Find Courses for Exchange Students Find Employees

Search results

    Search results

    Show all results for ""
    Can not find any results or suggestions for "."

    Search tips

    • Make sure there are no spelling errors
    • Try different search terms or synonyms
    • Narrow your search for more hits

    Shortcuts

    Courses for Exchange Students

    Job Opportunities

    How can we help?

    Contact Us

    Find Employees

    Svensk webbplats
    University of Skövde, link to startpage
    University of Skövde, link to startpage
    Close
    Find Courses for Exchange Students Find Employees

    Search results

      Search results

      Show all results for ""
      Can not find any results or suggestions for "."

      Search tips

      • Make sure there are no spelling errors
      • Try different search terms or synonyms
      • Narrow your search for more hits

      Shortcuts

      Courses for Exchange Students

      Job Opportunities

      How can we help?

      Contact Us

      Find Employees

      University of Skövde, link to startpage

      Pierre Dönnes

      Adjunct Senior Lecturer in Bioinformatics
      School of Bioscience
      Room G2240
      e-mail pierre.donnes@his.se
      Phone 0500-448680

      Research

      2020

      Transcriptional sex and regional differences in paired human atrial and ventricular cardiac biopsies collected in vivo

      Jane Synnergren, Kristina Vukusic, Pierre Dönnes, Marianne Jonsson, Anders Lindahl, Göran Dellgren, Anders Jeppsson, Julia Asp

      Physiological Genomics

      2020. Article. https://doi.org/10.1152/physiolgenomics.00036.2019

      2019

      Risk stratification integrating genetic data for factor VIII inhibitor development in patients with severe hemophilia A

      Delphine Bachelet, Thilo Albert, Cyprien Mbogning, Signe Hässler, Yuan Zhang, Stephan Schultze-Strasser, Yohann Repessé, Julie Rayes, Anna Pavlova, Behnaz Pezeshkpoor, Kerstin Liphardt, Julie E. Davidson, Agnès Hincelin-Méry, Pierre Dönnes, Sébastien Lacroix-Desmazes et al.

      PLOS ONE

      2019. Article. https://doi.org/10.1371/journal.pone.0218258 Open Access

      Detection and kinetics of persistent neutralizing anti-interferon-beta antibodies in patients with multiple sclerosis: Results from the ABIRISK prospective cohort study

      Poul Erik H. Jensen, Clemens Warnke, Kathleen Ingenhoven, Luca Piccoli, Marcia Gasis, Christina Hermanrud, Blanca M. Fernandez-Rodriguez, Malin Ryner, Daniel Kramer, Jenny Link, Ryan Ramanujam, Michael Auer, Dorothea Buck, Verena Grummel, Elisa Bertotti et al.

      Journal of Neuroimmunology

      2019. Article. https://doi.org/10.1016/j.jneuroim.2018.11.002

      2018

      Barrier properties and transcriptome expression in human iPSC-derived models of the blood-brain barrier

      Louise Delsing, Pierre Dönnes, José Sánchez, Maryam Clausen, Dmitrios Voulgaris, Anna Falk, Anna Herland, Gabriella Brolén, Henrik Zetterberg, Ryan Hicks, Jane Synnergren

      Stem Cells

      2018. Article. https://doi.org/10.1002/stem.2908 Open Access

      Current Perspectives on Multi-Omics Data Integration With Application on Toxicity Biomarkers Discovery

      Jane Synnergren, Pierre Dönnes

      Open Access journal of Toxicology

      2018. Article, review. https://doi.org/10.19080/OAJT.2018.02.555597 Open Access

      Integration of Biomedical Big Data Requires Efficient Batch Effect Reduction

      Jane Synnergren, Nidal Ghosheh, Pierre Dönnes

      10th International Conference on Bioinformatics and Computational Biology (BICOB): Las Vegas, Nevada, USA 19 – 21 March 2018

      2018. Conference paper.

      2012

      miHA-Match: Computational detection of tissue-specific minor histocompatibility antigens

      Magdalena Feldhahn, Pierre Dönnes, Benjamin Schubert, Karin Schilbach, Hans-Georg Rammensee, Oliver Kohlbacher

      JIM - Journal of Immunological Methods

      2012. Article. https://doi.org/10.1016/j.jim.2012.09.004

      Ongoing projects

      BIO-AID - Biomedical AI-driven data analytics

      Artificial intelligence (AI) is an important driving force that is rapidly transforming health care and pharmaceutical industries in several ways. The vast amount of biomedical data available today poses unique opportunities to develop a repertoire of AI-based models. Although the results from studies using AI for solving biomedical problems are encouraging, there are numerous scientific challenges associated with AI for life science applications that need to be addressed.

      October 2020 - September 2024 Systems Biology
      Published: 1/9/2020
      Edited: 1/9/2020
      Responsible: webmaster@his.se