Finally, we provide a short summary of our experiences with ycasd in the context of modelling. We extensively compare the functionality and other features of ycasd with other publically available tools. For subsequent processing of extracted data points, results can be formatted as a Matlab or an R matrix. All options of ycasd are accessible through a single window which eases handling and speeds up data extraction. A major advantage of ycasd is that it does not require a certain input file format to open and process figures.
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ResultsĪfter describing the general functionality and providing an overview of the programme interface, we demonstrate on an example how to use ycasd. After establishing a coordinate system by simple axes definitions, it supports convenient retrieval of data points from arbitrary figures. For this purpose, we developed the freely available open source tool ycasd. Hence, in order to include these data into environments used for model simulations and statistical analyses, it is necessary to extract them from their presentations in the literature. It is common practice that clinical data are not available in raw formats but are provided as graphical representations. Mathematical modelling of biological processes often requires a large variety of different data sets for parameter estimation and validation.
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