The phrase "a function that distinguishes" is correct and usable in written English.
You can use it when describing a specific capability or feature of a system, method, or process that sets it apart from others.
Example: "The algorithm includes a function that distinguishes between different types of data inputs, ensuring accurate processing."
Alternatives: "a feature that differentiates" or "a capability that identifies".
Caveolae have a specialized structure and function that distinguish them from general plasma membranes, lipid rafts, or clathrin-coated pits.
Nevertheless, we believe that the components of the resistome do show a characteristic balance between selfishness and "normal" functioning that distinguishes them, on one end of the mobility range, from transposons and other "genuine" mobile elements, and on the other end, from regular biosynthetic operons.
Each trigonometric function has an inverse function, that is, a function that "undoes" the original function.
One of the four functions that distinguish life.
We obtain discriminant functions that distinguish chemically the different production zones studied in this study.
The duplication of a domain induces divergence of the duplicate domain through mutations, insertions or deletions, producing modified structures and functions that distinguish it from its ancestor, but in our methodology it is only identified if it retains detectable structural similarity.
We did not find any network functions that distinguished the target from the non-target organs.
He also allows that the heart has a further function that distinguishes it from the other sense organs, and which he calls "sending knowledge".
For that purpose we could not simply divide the total cost during the study period by the number of dialysis but had to develop a cost function that distinguishes between variable, fixed and step-fixed.
This method [20] is based on a physical layer sensing: Considering that the medium is free when only noise is observed and occupied when signal plus noise samples are observed (data frame), we use a likelihood function that can distinguish the signal plus noise samples from the one corresponding to noise only.
