Rsif.royalsocietypublishing.org research cite this article: b m fröhlich h

HIGHLIGHTS

• who: Benjamin Engelhardt and collaborators from the Rheinische Friedrich-Wilhelms-Universität Bonn, Algorithmic Bioinformatics, Bonn, Germany Department of and Technology, University of Applied Koblenz, RheinAhrCampus have published the research: rsif.royalsocietypublishing.org Research Cite this Article: B M Fröhlich H, in the Journal: (JOURNAL)
• what: The authors propose a Bayesian elastic-net prior as detailed in the following sections.
• how: The authors exploited this idea to detect missing or erroneous interactions in a given ODE-based nominal model. wT xT yT RXY (t)= X(l-t) Yl (l=0)

 

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