The phrase "approach typically rely" is not correct in English as it lacks proper grammatical structure.
It can be used in a context where you want to discuss a method or strategy that usually depends on something, but it needs to be rephrased for clarity.
Example: "The approach typically relies on data analysis to make informed decisions."
Alternatives: "method usually depends" or "strategy often relies".
This approach typically relies upon cross-country econometric analysis based essentially on large panel data sets.
Furthermore, the approach typically relies on the accuracy of second-order polynomials in its estimation, which are not always suitable.
There are various normalization approaches that have been proposed, but any such approach typically relies on certain biological assumptions that one makes on the samples at hand and the genes monitored by the microarray.
This ex vivo approach typically relies on permanent modification of the cell genome by an integrating vector such as a retrovirus or plasmid DNA (that only rarely integrates but can be enriched by selecting cells with drugs).
Molecular design approaches typically rely on simplified thermodynamic property prediction models to be computationally tractable.
These approaches typically rely upon allometric equations to scale simple field measures of tree structure (diameter at breast height, height) to wood volume and ultimately to carbon mass by accounting for wood density [4, 5].
For deterministic models numerical approaches typically rely on root mean squared errors to quantify deviations.
System pharmacological approaches typically rely on the integration of various diverse types of data, such as chemical, biological and taxonomic, followed by the application of quantitative models to extract information from these data.
These approaches typically rely on existing transcript annotations, introducing a bias towards known genes, require specific experimental design and computational resources, or focus only on identification of splice variants (ignoring other biologically relevant transcribed features contained within the data that may be important for downstream analysis).
This is in contrast to conventional BLAST-based approaches, which typically rely on a single best hit for each gene (see Background).
