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This has the effect of minimizing discrepancies between an experiment and control baseline array value due to variation in preparation, hybridization or staining conditions or probe array lot number.
It is therefore unclear to us whether these pairings are actually related to epistatic interactions between the amino acids themselves, or result from differences in the machine learning methods' ways of minimizing discrepancies between measured and predicted activities in a small and unevenly distributed dataset.
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Structural damage detection (SDD) is originally an optimization problem by minimizing discrepancy between measured and calculated data of structures.
Adjoint modeling is applied to the model in order to minimize discrepancies between contamination observations and model outputs.
Model refinement: Changing the model structure to minimize discrepancies between the fitted model and the experimental data.
The method thereby aims to reduce the plethora of facets through which constructs are often represented and to minimize discrepancies between assessment instruments.
Goal management strategies (possible ways to react to difficulties along the path towards a goal) are intended to minimize discrepancies between the actual situation and the goals a person has [ 12].
In particular, the proposed standardized definitions for fat infiltration and erosions in both the SIJs and spine have now been validated and reference images are available to set the threshold for detection, to facilitate widespread implementation, and to minimize discrepancies between studies [ 16, 17].
They optimized hand model parameters to minimize discrepancy between the appearance and 3D structure of hypothesized instances of a hand model and the actual hand observations.
Here c is an offset parameter tuned to minimize discrepancy in activation times between the two models.
To minimize discrepancies caused by experimental factors, digestion and ligation were performed simultaneously.
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