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In facts, because the A averaging methods minimizes the weight of single data, A-based measures are expected to be more dependent on expression breadth [2].
The use of orthogonal methods minimizes the risk of missing relevant modifications, while the combination of all analytical techniques provide a very comprehensive picture of the molecule.
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The methods minimize the occurrence of ambiguities and indicate those situations in which they may occur.
This part of the design needs to be based on best available measurement technologies and deployment methods, minimizing the investments.
Such methods minimize the generalized asymptotic variance of the maximum likelihood estimators of the model parameters or that of a quantile lifetime.
These methods minimize the amount of empirical constants required, resulting in only one tube-specific parameter for all three conditions for each enhanced tube.
One trend involves the application of incremental methods, minimizing the need to recompute results as new datasets are added.
The OBA and AI-binning methods minimize the splitting of peaks between multiple bins and significantly reduce the size of the data matrix, thus reducing PCA computational time.
In the future many tissue assays could be performed by single-cell methods, minimizing the necessary sample size and thereby lessening the stress of the biopsy procedure on the patient.
Under different control methods, this proposed design method minimizes the annual total cost.
The proposed method minimizes the designed filters total investment cost such that the harmonic distortion reduced.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com