Now showing items 1-2 of 2

    • funtooNorm: an R package for normalization of DNA methylation data when there are multiple cell or tissue types 

      Oros Klein, Kathleen; Grinek, Stepan; Bernatsky, Sasha; Bouchard, Luigi; Ciampi, Antonio; Colmegna, Ines; Fortin, Jean-Philippe; Gao, Long; Hivert, Marie-France; Hudson, Marie; Kobor, Michael S.; Labbe, Aurelie; MacIsaac, Julia L.; Meaney, Michael J.; Morin, Alexander M.; O’Donnell, Kieran J.; Pastinen, Tomi; Van Ijzendoorn, Marinus H.; Voisin, Gregory; Greenwood, Celia M.T. (Oxford University Press, 2015)
      Motivation: DNA methylation patterns are well known to vary substantially across cell types or tissues. Hence, existing normalization methods may not be optimal if they do not take this into account. We therefore present ...
    • New Frontiers for Organismal Biology 

      Kültz, Dietmar; Clayton, David F.; Robinson, Gene E.; Albertson, Craig; Carey, Hannah V.; Cummings, Molly E.; Dewar, Ken; Edwards, Scott V.; Hofmann, Hans A.; Gross, Louis J.; Kingsolver, Joel G.; Meaney, Michael J.; Schlinger, Barney A.; Shingleton, Alexander W.; Sokolowski, Marla B.; Somero, George N.; Stanzione, Daniel C.; Todgham, Anne E. (American Institute of Biological Sciences, 2013)
      Understanding how complex organisms function as integrated units that constantly interact with their environment is a long-standing challenge in biology. To address this challenge, organismal biology reveals general ...