RG Bonn

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  • 2023 | Journal Article
    ​ ​Proteomic analysis of the human hippocampus identifies neuronal pentraxin 1 ( NPTX1 ) as synapto‐axonal target in late‐stage Parkinson's disease​
    Warth Perez Arias, C. C.; Silbern, I.; Caldi Gomes, L.; Wartmann, H.; Dambeck, V.; Fanz, J. & Neuenroth, L. et al.​ (2023) 
    Journal of Neurochemistry, 166(5) pp. 862​-874​.​ DOI: https://doi.org/10.1111/jnc.15924 
    ​Details  DOI  PMID  PMC 
  • 2022 | Preprint
    ​ ​DiSCERN - Deep Single Cell Expression ReconstructioN for improved cell clustering and cell subtype and state detection​
    Hausmann, F.; Ergen-Behr, C.; Khatri, R.; Marouf, M.; Hänzelmann, S.; Gagliani, N.& Huber, S. et al.​ (2022). DOI: https://doi.org/10.1101/2022.03.09.483600 
    ​Details  DOI 
  • 2022 | Journal Article
    ​ ​ERR2 and ERR3 promote the development of gamma motor neuron functional properties required for proprioceptive movement control​
    Khan, M. N.; Cherukuri, P.; Negro, F.; Rajput, A.; Fabrowski, P.; Bansal, V. & Lancelin, C. et al.​ (2022) 
    PLoS Biology, 20(12) art. e3001923​.​ DOI: https://doi.org/10.1371/journal.pbio.3001923 
    ​Details  DOI  PMID  PMC 
  • 2021 | Book Chapter
    ​ ​Management of Metadata Types in Basic Cardiological Research​
    Kusch, H. ; Kossen, R. ; Suhr, M.; Freckmann, L.; Weber, L.; Henke, C.& Lehmann, C. et al.​ (2021)
    In:​Röhrig, Rainer; Beißbarth, Tim; König, Jochem; Ose, Claudia; Rauch, Geraldine; Sax, Ulrich; Schreiweis, Björn, et al.​ (Eds.), German Medical Data Sciences 2021: Digital Medicine: Recognize – Understand – Heal pp. 59​-68.  DOI: https://doi.org/10.3233/SHTI210542 
    ​Details  DOI  PMID  PMC 
  • 2021 | Research Data
    ​ ​GMDS2021 ePoster and video teaser for DOI 10.3205/21gmds072​
    Kusch, H. ; Bauer, C. R.; Bender, T.; Hügel, J. ; Kossen, R. ; Nußbeck, S. Y.& Sax, U. ​ (2021)
    ​GRO.data. DOI: https://doi.org/10.25625/8vukqa 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper
    ​ ​Neuropathology of patients with COVID-19 in Germany: a post-mortem case series​
    Matschke, J.; Lütgehetmann, M.; Hagel, C.; Sperhake, J. P; Schröder, A. S.; Edler, C. & Mushumba, H. et al.​ (2020) 
    The Lancet. Neurology, 19(11) pp. 919​-929​.​ DOI: https://doi.org/10.1016/S1474-4422(20)30308-2 
    ​Details  DOI 
  • 2019 | Journal Article | Research Paper
    ​ ​Explainable Deep Learning for Augmentation of Small RNA Expression Profiles​
    Fiosina, J.; Fiosins, M. & Bonn, S. ​ (2019) 
    Journal of Computational Biology, 27(2) pp. 234​-247​.​ DOI: https://doi.org/10.1089/cmb.2019.0320 
    ​Details  DOI  PMID  PMC 
  • 2019 | Conference Paper
    ​ ​Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles​
    Fiosina, J.; Fiosins, M. & Bonn, S. ​ (2019)
    In:Cai, Zhipeng; Skums, Pavel; Li, Min​ (Eds.), ​Bioinformatics Research and Applications pp. 159​-170. ​15th International Symposium, ISBRA 2019​, Barcelona, Spain.
    Springer. DOI: https://doi.org/10.1007/978-3-030-20242-2_14 
    ​Details  DOI 
  • 2019 | Preprint
    ​ ​Deep-learning-based cell composition analysis from tissue expression profiles​
    Menden, K.; Marouf, M.; Oller, S.; Dalmia, A.; Kloiber, K.; Heutink, P.& Bonn, S. ​ (2019). DOI: https://doi.org/10.1101/659227 
    ​Details  DOI 
  • 2019 | Preprint
    ​ ​Explainable Deep Learning for Augmentation of sRNA Expression Profiles​
    Fiosina, J.; Fiosins, M.& Bonn, S. ​ (2019)
    ​Details  arXiv 

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