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Exact(14)
In general, methods of continuous optimization determine at most local optima.
In general, methods 1 4 showed increasing ages with increasing soil depth.
These findings not only added to themes to be considered in general methods of data collection but also ACASI-specific themes.
In general, methods for predicting MHC I-restricted determinants have advanced more rapidly, in part due to the fact that MHC II has an open binding groove accommodating larger peptides.
In general, methods for the detection of selection signatures are designed to analyze non-related animals.
In general methods to improve ADR reporting have been most successful when combined with CMS.
Similar(46)
In general, method accuracy and precision were very good, with recoveries (relative to C internal standards) greater than 80% and relative standard deviations (RSD) less than 10%.
Small discrepancies in absolute numbers between DOLLOP and CAFE result from the different underlying assumptions between both methods, but in general both methods predict similar tendencies.
On model M1, differences between methods were small, and in general all methods had very good accuracy.
In general, multivariate methods can be broadly grouped into two categories: supervised methods and unsupervised methods.
In general, all methods produce similar results where the path straightening method is only non-significantly better than the others.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com