Mats Rudemo, Professor of Mathematical Statistics at Chalmers and at the Royal Veterinary and Agricultural University, Copenhagen.

Research interests: image analysis and spatial statistics, bioinformatics, statistical models for gel structure.

Mats Rudemo is Professor at Mathematical Statistics, Chalmers University of Technology, S-412 96 Göteborg, Sweden Phone: +46 31 772 3575, Fax: +46 31772 3508 

Department of Mathematics and Physics, The Royal Veterinary and Agricultural University
Thorvaldsensvej 40, DK-1871 Frederiksberg C, Denmark,

Director Stochastic Centre, Gothenburg

Selected papers in reverse chronological order

    * Jonasson JK, Hagman J, Lorén N, Bernin D, Nydén M & Rudemo M (2010) Pixel-based analysis of FRAP data with a general initial bleaching profile. Journal of Microscopy to appear
    * Morant M, Ekstrøm C, Ulvskov P, Kristensen C, Rudemo M, Olsen CE, Hansen J, Jørgensen K, Jørgensen B, Møller BL & Bak S (2010) Metabolomic, transcriptional, hormonal, and signaling cross-talk in superroot2. Molecular Plant 3, 192-211.
    * Guillot G, Lorén N & Rudemo M (2009) Spatial prediction of weed intensities from exact count data and image-based estimates. Journal of the Royal Statistical Society: Series C (Applied Statistics) 58, 525-542.
    * Jernås M, Olsson B, Sjöholm K, Sjögren A, Rudemo M, Nellgård B, Carlsson L & Sjöström C (2009) Changes in adipose tissue gene expression and plasma levels of adipokines and acute-phase proteins in patients with critical illness. Metabolism 58, 102-108.
    * Jonasson JK, Lorén N, Olofsson P, Nydén M & Rudemo M (2008) A pixel-based likelihood framework for analysis of fluorescence recovery after photobleaching data. Journal of Microscopy 232, 260-269
    * Åstrand M, Mostad P & Rudemo M (2008) Empirical Bayes models for multiple probe type microarrays at the probe level. BMC Bioinformatics 9:156.
    * Guillot G, Olsson M, Benson M, Rudemo M (2007) Discrimination and scoring using small sets of genes for two-sample microarray data. Mathematical Biosciences 205, 195-203.
    * Benson M, Hov DA, Clancy T, Hovig E, Rudemo M & Cardell LO (2007) Connectivity can be used to identify key genes in DNA microarray data: a study based on gene expression in nasal polyps before and after treatment with glucocorticoids. Acta Otolaryngolica 127, 1074-1079.