The phrase "a percentage of features" is correct and usable in written English.
It can be used when discussing the proportion or fraction of specific characteristics or attributes within a larger set.
Example: "The new software update includes a percentage of features that were requested by users in the feedback survey."
Alternatives: "a portion of features" or "a fraction of features".
The hybridization performance of labeled targets to salmonid features was assessed as a percentage of features bound from the numbers of AS and RT features passing a hybridization signal threshold.
For cross-species and tissue-on-tissue experiments, the hybridization performance of labeled targets to salmonid features was assessed as a percentage of features bound from the numbers of AS and RT features passing a hybridization signal threshold, defined as two standard deviations above Arabidopsis signal mean.
A higher ID ratio means that a higher percentage of features was removed.
Then, a percentage of hypothesized deep feature card pairs, hypothesized surface feature card pairs, and unexpected card pairs could be calculated for each individual's card sort.
To minimize discordance between centers, digital "virtual" microscopy is often used to assist smaller centers, and reference pathologists meet regularly in an effort to reach a consensus about the percentage of features that constitute a certain disease classification.
A percentage of the cases feature concomitant motor neuron disease (MND).
Bed file intersections can provide the percentage of features within a certain distance from a reference file, which ColoWeb provides in the "Percentage Near Feature" output, but ColoWeb also outputs a normalized quantification of the degree of positive colocalization, AMI, or of the absence of colocalization, BMI.
The stats are especially unacceptable in comparison to U.S. Census counts; in 2016, for example, only one film out of the top 100 featured a percentage of Latino characters that accurately reflected their population in the United States. .
Results were expressed as a percentage of patients displaying each morphologic feature.
Table 7 Best results after parameter tuning for arousal and valence tasks with according settings (feature set, feature selection method, and percentage of features).
For the same percentage of features (0.1%), the best recognition rate obtained is 94.9% using CA as classifier and our feature reduction algorithm while PCA led to an accuracy of 90.4% for the same reduction rate.
