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17 papers · 1 filter
AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models
Fabian Fröhlich, Daniel Weindl, Yannik Schälte +5
Ordinary differential equation models facilitate the understanding of cellular signal transduction and other biological processes. However, for large and comprehensive models, the…
Learning physically consistent mathematical models from data using group sparsity
Suryanarayana Maddu, Bevan L. Cheeseman, Christian L. Müller +1
We propose a statistical learning framework based on group-sparse regression that can be used to 1) enforce conservation laws, 2) ensure model equivalence, and 3) guarantee symmetr…
Modeling Disease Progression Trajectories from Longitudinal Observational Data
Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne +7
Analyzing disease progression patterns can provide useful insights into the disease processes of many chronic conditions. These analyses may help inform recruitment for prevention…
Intercomparison of Monte Carlo calculated dose enhancement ratios for gold nanoparticles irradiated by X-rays: assessing the uncertainty and correct methodology for extended beams
H. Rabus, W. B. Li, C. Villagrasa +10
Results of a Monte Carlo code intercomparison exercise for simulations of the dose enhancement from a gold nanoparticle (GNP) irradiated by X-rays have been recently reported. To h…
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale
Christian Schiffer, Hannah Spitzer, Kai Kiwitz +6
Human brain atlases provide spatial reference systems for data characterizing brain organization at different levels, coming from different brains. Cytoarchitecture is a basic prin…
Mineralogy, chemistry and composition of organic compounds in the fresh carbonaceous chondrite Mukundpura: CM1 or CM2?
S. Potin, P. Beck, L. Bonal +7
We present here several laboratory analyses performed on the freshly fallen Mukundpura CM chondrite. Results of infrared transmission spectroscopy, thermogravimetry analysis and re…