"limited prior knowledge" is correct and usable in written English.
You can use it to describe someone's experience or understanding of a particular topic before they learn more about it. For example, "He had only limited prior knowledge of coding, so he needed to take a course to get up to speed."
Despite the wide recognition of the importance of phage, the field of marine phage genomics, as well as phage biology in general, have suffered from technical limitations including (i) limited prior knowledge of the target genome sequence and (ii) restrictive quantities of template DNAs.
Consider the common situation in which only limited prior knowledge is available about the way sentiment is expressed in the domain of interest, in the form of small sets of documents and words for which sentiment labels are known, but where abundant unlabeled documents can be easily collected (e.g., via Web crawling).
Chemicals in LPG II produced only putative pre-neoplastic liver lesions in rat and mouse but there is limited prior knowledge about their NR activities.
These algorithms can be implemented in software for phylogenetic analysis that involves serial sampling scheme or limited prior knowledge about ancestors of particular clades for calculating tree prior distributions.
Such bounds can often be derived as intervals by physical conservation relations (if the initial concentrations are known), but arbitrary regions can be assumed if only limited prior knowledge is available.
This field is confronted to a very limited prior knowledge and a small set of usable tools.
Another student wrote, "Prior to joining…I had a vague idea of the pathophysiology, but I had no knowledge at all regarding the personal and social impact of [AD]." Some students had limited prior experience with AD.
Alternatively, gene expression microarrays allow for efficient analysis of a large number of different predetermined transcripts in several samples, but are limited by prior knowledge and gene discovery.
Research aimed at discovering beta cell survival factors has typically been conducted one at a time and has been limited by prior knowledge [ 2– 4].
It is efficient at handling large amounts of data as the space of possible models is limited by the prior knowledge.
Especially, the application of this technology is not limited to the prior knowledge of genomic sequence, it had been successfully applied in peanut transcriptome study on development and response to stress [ 33– 33].
