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The phrase "a large fraction of data sets" is correct and usable in written English.
It can be used when discussing the proportion of data sets that share a common characteristic or feature in a statistical or analytical context.
Example: "In our analysis, we found that a large fraction of data sets exhibited similar trends over the past decade."
Alternatives: "a significant portion of data sets" or "a considerable number of data sets".
Exact(1)
A large fraction of data sets were significantly different (α = 5%) than their associated simulations (394 of 498 Orthomam data sets, 72 of 100 COG data sets, and 3 of 9 HIV-1 MSAs).
Similar(59)
When the parameters are not set appropriately, a large fraction of data points may be identified as noise points.
The most severe problem with the paper, however, was that it had discarded a large fraction of data for the Holocene which did not fit their claims.
Thus, it was accepted that few factors could represent a large fraction of data variability.
The reproducibility of this type of data is limited [30], so a larger fraction of the data set (30%) was used for model building than in the other examples discussed here.Representative results are shown in Figure 8.
If different BTSCs share most of their positive promoters, then the core set will be a large fraction of the universe set.
We evaluated the methods on simulated data sets, a data set with affinity data against a large fraction of the human kinome, and four smaller subsets of the aforementioned kinome data.
Because only a single age class of fish was used in this experiment, and only a small subset of tissues were sampled, this result suggests both that a large fraction of the assembled contigs in the data set are accurate, and that the RNA-seq process recovered a high fraction of expressed genes.
The main difference is that base composition explain a large fraction of the variation in codon usage in the current data set whereas the effect of gene length is weak and non-significant.
The major QTL on linkage group 21 was found to explain a large fraction of the phenotypic variance in both the post-smolt and fry data sets.
For example, a large fraction of the GADPH- and beta-actin intensity ratios of the tissue data set meet the constant quality criterion, Δ3′/5′control < threshold = 0.47, indicating apparently good RNA quality.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com