The phrase "avoid the classification of" is correct and usable in written English.
You can use it when discussing the desire to not categorize or label something in a specific way.
Example: "In order to foster creativity, we should avoid the classification of ideas into rigid categories."
Alternatives: "steer clear of categorizing" or "refrain from labeling".
The Act attempts to exempt crowdfunding from expensive registration requirements and allow crowdfunding websites to avoid the classification of broker, which would impose substantial registration costs on such sites.
In order to avoid the classification of non-contaminating sequences as contamination, all possible contamination can be compared to a second set of databases and marked accordingly.
In order to avoid the classification of non-contaminating sequences as contamination, all possible contaminating sequences can be compared to alternative databases ("retain" databases) and matches above the thresholds are marked accordingly with "Hit to both".
We considered as constitutively expressed only those UCEs having: MFC < 2, CV < 0.05, an average signal intensity larger than the 5th percentile of the distribution of the signals (to avoid the classification of UCEs with very low signals) and a signal intensity larger than two standard deviations from the mean of the negative probes.
The filtering procedure, which first applies a threshold (either slope or elevation) to classify vegetation high-points, and second a regional growing algorithm from these high-points, avoids the classification of high channel banks as vegetation, preserving existing channel morphology for subsequent interpolation (2.90 9.21% calibration error; 4.53 7.44% error in evaluation for slope threshold).
Indeed, an understanding of these aspects may avoid the hasty classification of Kocuria as contaminating micrococci in a clinical setup.
Knowledge about these variations would help the examiner to avoid the false classification of breast lesions.
Public health officials tend to avoid the hierarchical classification of vaccines when addressing the public.
To avoid bias in the classification of new episodes, performance was evaluated without considering previous patient information on the training stage.
Ten ordinal points were preferred over minimal scales (e.g. good/fair/poor) to avoid ambiguities in the classification of performance quality.
The rationale for using this exploratory statistical tool is based on the need to reduce the inherent multidimensionality of microarray data and to avoid assumptions on the classification of the samples, without prior distinction between negative controls, positive samples, and unknown commercial specimens.
