The phrase "are most functional for" is correct and usable in written English.
It can be used when discussing the effectiveness or suitability of something for a particular purpose or function.
Example: "These tools are most functional for enhancing productivity in the workplace."
Alternatives: "are most effective for" or "are best suited for".
When ranked by the increase of prediction accuracy when adding all functional features (the "minus" column in Table 2) we can see that functional features are most powerful for the GSK3 kinase family.
Based on the site of insertion prf2-1 and prf3-2 are most likely null for functional profilin protein expression.
Our analysis has provided insight into the extent to which different classes of functional annotation are most useful for the identification of known regulatory variants.
These models are useful for addressing basic questions, but because they have a functional immune system, they are most suitable for studying the effects of immunotherapy as a treatment for melanoma.
In addition, the intron patterns within the basic and hinge region of the bZIP domain are most conserved and particularly important for their functional evolution.
Whereas CMRI is most useful for functional imaging, calcifications can be best picked up by CT imaging.
Therefore, PB may be most suitable for functional genomics studies in pigs or pig cells, where mutations due to the interruption of genes, and the potential for precise transposition-based rescue is desirable [ 62- 65].
Our study suggests that movement across slopes may be most important for facilitating functional connectivity.
For many the causal gene has not been defined and little is known about the cell types which may be most relevant for their functional effects.
Finally, all networks were investigated as predictors of language function (Core Language composite scores on CELF-IV) with multiple linear regression, to identify which network and which parameter (functional MRI signal change or functional connectivity) were most informative for predicting language outcome in children with epilepsy.
