The phrase "analysis approach can be" is correct and usable in written English.
It can be used when discussing different methods or strategies for conducting an analysis in various contexts, such as research or problem-solving.
Example: "The analysis approach can be tailored to fit the specific needs of the project, ensuring more accurate results."
Alternatives: "analytical method may be" or "approach to analysis can be".
The modeling and analysis approach can be applied to other systems and components.
The present analysis approach can be useful in the design of MOVPE growth of Ga1−xInxP alloy compounds as well as of other P-containing semiconductors.
The detailed mathematical representation of the relational analysis approach can be found in [10].
The systems analysis approach can be a very powerful tool in that different portions of the frequency spectrum may be indicative of various aspects of the pathophysiology.
A case-cohort analysis approach can be used to test hypotheses not initially considered when the cohort was initiated or to analyze data where additional assessments have been carried out.
The Seqnature software and analysis approach can be applied to other next generation sequencing technologies such as Chip-seq to identify allelic differences in transcription factor occupancy (Reddy et al. 2012) or DNase I sensitivity mapping to identify allele-specific chromatin activation (Degner et al. 2012).
Text mining and semantic analysis approaches can be applied to the construction of biomedical domain-specific search engines and provide an attractive alternative to create personalized and enhanced search experiences.
While a variety of analysis approaches can be conceived for detecting statistically significant differences in allelic frequency, we chose to implement an approach previously demonstrated effective at identifying the correct genetic loci in other pooling-based studies in complex diseases [8].
In summary, flexible data analysis approaches can be highly informative especially when the underlying signals of interest are complex and poorly understood.
Health policy analysis approaches can be applied in traditional one party states and can demonstrate how similar policy changes take place, as those found in pluralistic societies, but through more top-down and somewhat hidden processes.
