The phrase "a basis to generate" is correct and usable in written English.
It can be used when discussing foundational elements or principles that enable the creation or production of something.
Example: "The research provided a basis to generate new theories in the field of psychology."
Alternatives: "a foundation for generating" or "a framework to create".
This set of path patterns serves as a basis to generate recommendations.
A morphology for an immunoassay technology is considered as a basis to generate system versions.
If this unified driving cycle includes alternative propulsion technologies, it could serve as a basis to generate more reliable TTW data in the future.
Subsequently, the tables found wide adoption and are used by the CAS database as well as other data formats, such as the Chemical Mark-up Language (CML) and as a basis to generate InChIs [17, 22 24].
Such modeling can, however, be further supported using the analysis tool developed here: the statistical properties can be used as a basis to generate virtual tissues for such computational models.
Although these measures are useful, our model-based expression distance has a unique strength for the study of transcriptome evolution because it provides a basis to generate testable hypotheses under the phylogenetic framework.
Dealer incentives from manufacturers to dealerships reduce a dealer's cost of buying the car from the factory and are offered on a regional basis to generate sales on specific models.
Computational analysis of smRNA datasets, which are less costly on a molar basis to generate, in conjunction with inexpensive high resolution custom tiling microarrays can provide a more integrated view of gene expression, especially in genomes with limited annotation.
The report is an important basis to generate dynamic strategy. .
Next generation sequencing offers a cost-effective basis to generate the necessary, large sequence data sets, and bioinformatic methods are being developed to process sequencing machine readouts.
The recently proposed Krylov subspace-based CG and AVF algorithms for the direction of arrival (DOA) estimation utilize a non-eigenvector basis to generate the signal subspace and yield a superior resolution performance for closely spaced sources under severe conditions.
