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Thus, the results of this contribution provide new and powerful tools for dynamic modeling of combinatorial reaction networks like they occur in signal transduction.
The statistical models we propose in this contribution provide posterior probabilities on SNV predictions, removing the need for depth thresholds and use an EM learning algorithm to fit the model to data removing the need to set model parameters by hand.
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This contribution provides a tutorial review on methods for identifiability analysis, regularization techniques and optimal experimental design.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com