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Using a methodology based on probabilistic Boolean modelling, we constructed the first model of yeast iron homeostasis including oxygen-related reactions in the frame of central metabolism.
Using Gaussian graphical modelling, we constructed a metabolic network that links diabetes-associated metabolites from three biofluids across three different timescales of glycaemic control.
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For these models we construct the analytical solution and use it for studying the efficiency of locally optimal designs.
From this fine-grained model we constructed a HMM model.
Based on Delone and McLean's IS success model, we constructed the scale for evaluating Emergency Management Engineering Information System (EMEIS) success.
As a model we constructed a library of octapeptides and showed that the library is amenable to selection on cos-7 cells.
By exploring an exactly solvable model, we constructed the free energy landscape and established a general framework for studying the biomolecular flexible binding process.
In order to test the robustness of variables in the models, we constructed 7 models.
In conclusion, we recommend that the growth model we constructed be used to investigate the forest dynamics in Brazilian native Araucaria forests.
In the experiments, we use five different performance metrics to compare the models we constructed based on our ISC similarity with other similarity measures.
The other dimension reduction techniques investigated partial SIR, SAVE, yPHD, and rPHD did not reduce the dimensionality much for any of the three models we constructed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com