no code implementations • 19 Aug 2022 • Helena U. Zacharias, Christoph Kaleta, Francois Cossais, Eva Schaeffer, Henry Berndt, Lena Best, Thomas Dost, Svea Glüsing, Mathieu Groussin, Mathilde Poyet, Sebastian Heinzel, Corinna Bang, Leonard Siebert, Tobias Demetrowitsch, Frank Leypoldt, Rainer Adelung, Thorsten Bartsch, Anja Bosy-Westphal, Karin Schwarz, Daniela Berg
We conclude our review with therapeutic options to modulate microbiome composition to prevent or delay neurodegeneration and illustrate potential future research directions to fight PD and AD.
1 code implementation • 5 Jan 2022 • Stefan Schrod, Andreas Schäfer, Stefan Solbrig, Robert Lohmayer, Wolfram Gronwald, Peter J. Oefner, Tim Beißbarth, Rainer Spang, Helena U. Zacharias, Michael Altenbuchinger
Their inference is often challenged by the fact that the training data comprises only the outcome for the administered treatment, and not for alternative treatments (the so-called counterfactual outcomes).
1 code implementation • 4 Apr 2021 • Katherine H. Shutta, Deborah Weighill, Rebekka Burkholz, Marouen Ben Guebila, Dawn L. DeMeo, Helena U. Zacharias, John Quackenbush, Michael Altenbuchinger
The increasing quantity of multi-omics data, such as methylomic and transcriptomic profiles, collected on the same specimen, or even on the same cell, provide a unique opportunity to explore the complex interactions that define cell phenotype and govern cellular responses to perturbations.
1 code implementation • 22 Mar 2017 • Helena U. Zacharias, Thorsten Rehberg, Sebastian Mehrl, Daniel Richtmann, Tilo Wettig, Peter J. Oefner, Rainer Spang, Wolfram Gronwald, Michael Altenbuchinger
Motivation: Metabolomics data is typically scaled to a common reference like a constant volume of body fluid, a constant creatinine level, or a constant area under the spectrum.