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The proposed method performs reasonable well for different network structures.
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For large high contrast lesions, most methods perform reasonable but with different accuracy levels.
In contrast, the eSS2b method performed consistently well, solving all the problems in reasonable computation time using its default options (i.e. without the need of tweaking the method's search options with preliminary runs).
In some cases the Baumgarte method and HHT-α method cannot give reasonable results while the TLISMNI methods perform well when the contact and constraint problems are involved.
This last results suggests that, even with the good insights provided by this work about which methods perform better in each context, a preliminary investigation needs to be performed when sentiment analysis is used in a new dataset in order to guarantee a reasonable prediction performance.
Both methods performed well on our data.
All methods performed well with no errors.
All methods performed similarly.
Removal of SPPs in duplicated regions with inconsistent data or missing data (see Methods) was a reasonable method of removing unreliable data as these data may be from poorly performing probes in one or all replicates, heterozygous loci, paralogous genes or deleted genes.
However, this method needed reasonable ultrasonic power.
Thus, the above thermogravimetry analysis by FWO method is reasonable.
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