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For large high contrast lesions, most methods perform reasonable but with different accuracy levels.
Most methods perform well on the genes with one transcript, but the accuracy rates for unannotated transcripts are low across the board.
Discovering that most methods perform quite badly should be headline news, but could reduce enthusiasm for participation to the point of killing off future assessments.
The performance of various β-barrel's topology predictors has been evaluated by Bagos et al. (2005) using a data set of 20 previously defined TOMP β-barrels, and it was reported that most methods perform better when only TOMP β-barrel domains are used for prediction, rather than the full-length sequences.
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It can be considered as "hard" dataset as most methods performed rather poorly on this dataset.
For low levels of errors one could use a pivot-SATR definition doubling the error threshold to capture a Steiner-SATR, however for higher error levels (say, above 25%), doubling the error threshold forces the existing systems to work in a range of values (say, above 50%) where most methods do not perform well.
While most computational methods perform well under some circumstances, their behaviour can vary markedly depending on the dataset under analysis.
Most reconstruction-based methods perform registration between LR images based on their motions, followed by restoration for blur and noise removal.
In Figure 3, when a third of the causal variants are protective, most of the methods perform worse than in Scenario 1 (with Fp taking a huge loss of power), but PeRC W seems to perform similarly to the case with all risk causal variants.
Most of the counterpart methods perform well when there are no pathological regions or exudates in retinal images.
Most standard library preparation methods perform purification after blunt-ending, A-addition, and ligation steps to avoid carryover of enzymes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com