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Such simulation-based meta-heuristic methods have powerful searching abilities, often allowing them to overcome the several drawbacks of traditional mathematical methods.
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It is shown through the examples that the developed GESO method has powerful capacity in searching for global optimal results and requires less computational effort than ESO and other existing methods.
It is only recently that instruments and analysis methods have become powerful enough to discern their composition.
Many of these methods have become powerful tools for the study of various other cosmic objects from stellar atmospheres to galactic nuclei.
The largest power gain was observed when the underlying effect structure involved complex G×E interactions; however, the proposed methods have consistent, powerful performance when the effect profile is simple or complex, suggesting that the proposed method could be a useful tool for exploratory or confirmatory G×E analysis.
Recently suffix-array-based methods have proved powerful in standard sequence matching, as exemplified by Bowtie (Langmead et al., 2009), BWA (Li and Durbin, 2009) and SOAP2 (Li et al., 2009).
Newly developed model-based methods have been powerful tools for examining the diversification patterns of organisms and their underlying mechanisms (e.g. [ 18– 21]); these model-based methods can reveal the processes that fostered the diversification of rice and shaped spatial-temporal patterns of its diversity.
Key Points With the constant acceleration in the number of genome sequences available, it is indispensable to have powerful methods for predicting protein function.
Since the predominant mode of analysis in MINER is exploratory rather than hypothesis testing, it is necessary to have powerful methods capable of detecting the faint signals present in noisy data such as microarrays.
Recently, bio-inspired methods have emerged as powerful optimization algorithms for solving complex problems.
Recently, high-throughput screening methods have emerged as powerful tools to identify candidate host factors for therapeutic intervention.
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