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For domain scientists, this problem is akin to one of fitting a model (e.g., a polynomial of order n) to data in those cases, information criterion approaches allow one to apply a penalty on the polynomials of higher order (due to larger available degrees of freedom) that must be overcome for models with higher n to be preferred over those with lower n.
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We report that this inherent challenge can be overcome in model organisms.
This barrier can be overcome by using model calibration.
This can partly be overcome by studying animal models which are representative for the human situation, are highly homogenous and are kept under strictly standardized experimental conditions.
However, the main limitation to the spatial resolution still comes from the light scattering and absorption in the tissue, like in CCD-based acquisitions, and can only be overcome with a proper inverse model for the light transport.
We also highlight specific diseases and the roadblocks that must be overcome before iPS cell technology can be widely adopted for complex disease modeling.
However, the use of prediction models for clinical decision making still has many challenges to be overcome.
Two significant roadblocks to widespread adoption of Drosophila as a model system for the study of heart disease need to be overcome.
Still, some difficulties using animal models for testing emulsification and toxicity of silicone oil are yet to be overcome.
Our model provides evidence that these problems can be overcome.
For eukaryotic model organisms, the limitation of group II intron function by low Mg2+ concentrations can be overcome by injecting additional Mg2+ or Mg2+ in combination with polyamines.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com