The phrase "analysis approach such as" is correct and usable in written English.
You can use it when introducing examples of different methods or strategies related to analysis in a specific context.
Example: "In our research, we employed an analysis approach such as qualitative interviews to gather in-depth insights."
Alternatives: "analytical methods like" or "approaches to analysis such as".
Further research topics might include the development of our results to more complex and more varied cases with sector nonlinearities and channel fadings by using a stochastic analysis approach, such as multi-agent systems based on the T-S fuzzy model, descriptor systems, and affine fuzzy systems.
To reduce the dimensionality of parameter estimation, we may employ a sensitivity analysis approach, such as the one proposed in [ 18, 19], to identify parameters that do not appreciably influence the cost of estimation.
In the first group, spectral analysis approaches such as Prony and Fourier spectral and block processing techniques have been successfully used on complex WAMS data sets to extract modal information [4, 5, 6, 7].
The statistical profiles of 3-D similarity values for biologically tested compounds provided in this work will enable other analysis approaches, such as clustering of 3-D similarity values at statistically-appropriate thresholds, to identify useful subsets of non-inactive chemical structures involved in biological activity data trends, using a limited number of diverse conformers per compound.
Since FRT-like sites share conserved sequence patterns, these patterns could be identified using probabilistic sequence analysis approaches, such as a hidden Markov model, HMM [22], [23].
Function prediction methods can be extended using gene context analysis approaches such as examining the conservation of chromosomal gene clusters, gene fusion events and co-occurrence profiles across genomes.
High-throughput genome-wide analysis approaches such as microarray analysis and next generation sequencing have been used in the study of phenotypes such as hybrid vigor [ 8- 10].
Various statistical correlation analysis approaches, such as clustering [ 33], independent component analysis [ 34], and Bayesian network [ 35], have been successfully applied.
Third, the biological context associated with the topics can be easily interpreted by using functional analysis approaches such as GSEA [ 23].
The DMEA approach we describe also takes advantage of positional information, in contrast to other motif enrichment analysis approaches, such as AME [ 6], which measure enrichment over a whole genomic region.
