The phrase "analysis could become" is correct and usable in written English.
It can be used when discussing the potential future state or development of an analysis process or its outcomes.
Example: "With the introduction of new data sources, our analysis could become more comprehensive and accurate."
Alternatives: "analysis might evolve" or "analysis has the potential to transform".
The hope is that by making the process more affordable, genome analysis could become a routine part of medical care.
Stylometric analysis could become a common tool for law enforcement and government agencies to uncover supposedly anonymous posters on web forums, although this technique requires a large amount of data to be effective (the study required a minimum of 5,000 words for complete analysis).
The prospect that microbiotic analysis could become a powerful tool in identifying individuals or linking them with things they've touched or places they've been, are the subject of two studies out this week.
Consequently, the statistical analysis itself could become a methodological challenge.
As the cost of DNA sequencing steadily decreases [ 27], analysis of SML could become a reasonable and useful prognostic marker to help select patients with aggressive and/or endocrine-resistant ER+ tumors, who may benefit from aggressive therapy targeting non-hormonal pathways.
Still, he thinks, syntactic analysis, for all its achievements, could become richer by consistently incorporating phonology.
While EIS is a powerful technique, the instrumentation required for implementation can be bulky and the time for analysis could also become unacceptable, particularly for online applications.
The regression analysis equation in the study could become a useful clinical tool after it has been refined through gathering of more normative data to predict lumbar extensor muscles strength, in situations where direct measurement of muscle strength would be inappropriate.
In conclusion, we anticipate that the presented estimator could become a powerful analysis tool in applications where information theoretical analysis has not been previously possible.
Practical experimenters must always be aware of the possibility that some of their observations could become unavailable for analysis.
We suggest that actigraphy combined with detailed mathematical analysis provides a biological variable that could become an important tool for developing a personalized approach to diagnostics and treatment monitoring in BD.
