Publications of Claudia Grellmann

Grellmann, C., Neumann, J., Bitzer, S., Kovacs, P., Tönjes, A., Westlye, L. T., … Horstmann, A. (2016). Random projection for fast and efficient multivariate correlation analysis of high-dimensional data: A new approach. Frontiers in Genetics, 7. doi:10.3389/fgene.2016.00102

Grellmann, C., Bitzer, S., Neumann, J., Westlye, L., Andreassen, O., Villringer, A., & Horstmann, A. (2015). Comparison of variants of canonical correlation analysis and partial least squares for combined analysis of MRI and genetic data. NeuroImage, 107, 289–310.

Ashbrook, D. G., Delprato, A., Grellmann, C., Klein, M., Wetzel, R., Overall, R. W., & Badea, A. (2014). Transcript co-variance with Nestin in two mouse genetic reference populations identifies Lef1 as a novel candidate regulator of neural precursor cell proliferation in the adult hippocampus. Frontiers in Neuroscience, 8. doi:10.3389/fnins.2014.00418

Dietrich, A., Federbusch, M., Grellmann, C., Villringer, A., & Horstmann, A. (2014). Body weight status, eating behavior, sensitivity to reward/punishment, and gender: Relationships and interdependencies. Frontiers in Psychology, 5. doi:10.3389/fpsyg.2014.01073

Dietrich, A., Federbusch, M., Grellmann, C., Villringer, A., & Horstmann, A. Body weight status, eating behavior, sensitivity to reward/punishment, and gender: relationships and interdependencies. Poster presented at the 30th Annual Meeting of the German Society for Obesity, Leipzig, Germany. Retrieved from http://hdl.handle.net/11858/00-001M-0000-002B-600B-E

Grellmann, C., Neumann, J., Bitzer, S., Kovacs, P., Toennjes, A., Villringer, A., & Horstmann, A. Random projection for efficient dimensionality reduction in obesity-related genotype-phenotype association studies. Poster presented at the 30. Jahrestagung der Deutschen Adipositas Gesellschaft, Leipzig, Germany. Retrieved from http://hdl.handle.net/11858/00-001M-0000-002B-6102-9

Grellmann, C., Neumann, J., Bitzer, S., Stumvoll, M., Villringer, A., & Horstmann, A. Comparison between variants of canonical correlation analysis and artial least squares for combined analysis of MRI and genetic data. Poster presented at the 20th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Hamburg, Germany. Retrieved from http://hdl.handle.net/11858/00-001M-0000-002B-6105-3

Grellmann, C., Neumann, J., Bitzer, S., Stumvoll, M., Villringer, A., & Horstmann, A. Combining MRI and genetic data to understand the brain’s role in the development of obesity. Poster presented at the 29th Annual Meeting of the German Society for Obesity, Hannover, Germany. Retrieved from http://hdl.handle.net/11858/00-001M-0000-0014-6195-D

Grellmann, C. (2017). Combining brain imaging and genetic data using fast and efficient multivariate correlation analysis (PhD Thesis). The Faculty of Mathematics and Computer Science, University of Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-0004-C0A2-B