The phrase "as a function of the levels" is correct and usable in written English.
It can be used in contexts where you are discussing how one variable changes in relation to different levels of another variable, often in scientific or mathematical discussions.
Example: "The results of the experiment varied significantly as a function of the levels of temperature applied."
Alternatives: "in relation to the levels" or "depending on the levels".
A 2D contour plot, which has been obtained in this work, shows the isoresponse lines (MIP nanoparticles yield) as a function of the levels of two factors (irradiation time and concentration of monomer) that can change and two factors which should be constant (temperature during UV irradiation and temperature of low-affinity MIP nanoparticles waste).
These equations offer a mechanistic chemically based view on the change in the level of cellular species as a function of the levels of their interactors.
To test for probable correlations between the measured molecular elements and the modified cognitive performance of stressed mice, we plotted the route traversed by each mouse in the first quadrant as a function of the levels of relevant RNA transcripts.
Although HER3 exhibited few changes in its recruitment pattern as a function of peptide ('bait') concentration, significant changes occurred for HER2 suggesting that the complement of adapter proteins recruited by activated HER2 would qualitatively vary significantly more as a function of the levels of activated receptors.
C04 as a function of the constraint levels when Wettzell was kept as the reference station.
The bone level change was calculated as a function of the baseline level at implant placement.
Number line ranges increased as a function of Levels (e.g., Level 1: 0–5, Level 2: 0–10, Level 3: 0–50 etc.).
Extended Data Figure 5: Confidence level as a function of the (B0 μ+μ−) hypothesis.
Extended Data Fig. 5: Confidence level as a function of the (B0 μ+μ−) hypothesis.
In Figure 4B, we plot the mean confidence level as a function of the edge distance.
(b) Recognition rate as a function of the number of presented images for different noise levels.
