Derived from RNAs purified after lengthy cell separation procedures, our microarray data cannot compare in quality and applicability with others generated with rapidly extracted, more intact RNAs.
Small and large trials were compared in methodological qualities including sequence generating, blinding, allocation concealment, intention to treat and sample size calculation.
Finally the performances of all methods are compared in terms of quality of the obtained solution, computation time and algorithm complexity.
Several techniques will be briefly illustrated and compared in terms of quality of the test purposes obtained, ease of use, and tool support.
The results are compared in terms of solution quality and convergence speed with 10 published PSO methods.
All these three approaches presented have been compared in terms of different quality parameters in [35] are presented in Table 1.
In this work, different intercamera estimation techniques for side information (SI) generation are explored and compared in terms of estimating quality, complexity, and rate distortion (RD) performance.
To address the complexity of the problem, different optimization-based solution algorithms are proposed and compared in terms of solution quality and CPU time.
Each AT was evaluated and compared in relation to data quality standards, namely for completeness, comprehensibility, traceability among others.
Many HEVC coding options are compared in terms of impact on quality and throughput, so to recommend the most efficient settings without excessively penalizing quality.
