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Fetty, Lukas; Loefstedf, Tommy; Heilemann, Gerd; Furtado, Hugo; Nesvacil, Nicole; Nyholm, Tufve; Georg, Dietmar; Kuess, Peter Share Save Share Save Share Save Identifying a neuroanatomical signature of schizophrenia, reproducible across sites and stages, using machine learning with structured sparsityde Pierrefeu, A.; Lofstedt, T.; Laidi, C.; Hadj-Selem, F.; Bourgin, J.; Hajek, T.; Spaniel, F.; Kolenic, M.; Ciuciu, P.; Hamdani, N.; Leboyer, M.; Fovet, T.; Jardri, R.; Houenou, J.; Duchesnay, E. Share Save Share Save Share Save Share Save Prediction of activation patterns preceding hallucinations in patients with schizophrenia using machine learning with structured sparsityde Pierrefeu, Amicie; Fovet, Thomas; Hadj-Selem, Fouad; Lofstedt, Tommy; Ciuciu, Philippe; Lefebvre, Stephanie; Thomas, Pierre; Lopes, Renaud; Jardri, Renaud; Duchesnay, Edouard Share Save Share Save OnPLS integration of transcriptomic, proteomic and metabolomic data shows multi-level oxidative stress responses in the cambium of transgenic hipI- superoxide dismutase Populus plantsSrivastava, Vaibhav; Obudulu, Ogonna; Bygdell, Joakim; Lofstedt, Tommy; Ryden, Patrik; Nilsson, Robert; Ahnlund, Maria; Johansson, Annika; Jonsson, Par; Freyhult, Eva; Qvarnstrom, Johanna; Karlsson, Jan; Melzer, Michael; Moritz, Thomas; Trygg, Johan; Hvidsten, Torgeir R.; Wingsle, Gunnar Share Save 
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