divergence values

USAGE SUMMARY

The phrase "divergence values" is correct and usable in written English.
It can be used in contexts related to statistics, mathematics, or data analysis where you are discussing the values that indicate divergence from a mean or expected outcome. Example: "The divergence values in the dataset suggest a significant deviation from the predicted trends."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The bimodality of divergence values indicated that fewer duplicate sequences had diverged moderately than expected; rather duplicates had remained largely unchanged or become very different.

BMC Genomics

The differences (convergence and divergence values) between haplotypes were proved by these observed SNPs.

International Aquatic Research

This isolate showed divergence values of 24.2 27% nt (18.5 20.9% aa) compared to the squamatid sequences.

Virus Research

Simulation of dynamical behavior can be done by deleting elements with maximum divergence values in the model step-by-step (Proceedings of EuroSimE April , 2002.

Materials Science in Semiconductor Processing

Genetic diversity and divergence values for each dataset were used for the interpolation of multispecies genetic surfaces and subsequent visualization using ArcGIS.

Ecological Informatics

When pooling all subjects' PL divergence values and comparing them to all subjects' BM divergence values, BM was less divergent than PL overall (p = 0.048) (Figure 5D).

Plosone

Divergence values for the adjoining 5 and 10 kb were 0.0137 and 0.0149, respectively.

Plosone

Table 1 provides a list of the 15 species pairs with the lowest divergence values.

Plosone

Within group variation was checked manually for unusually high genetic divergence values that might point to presence of a paralogue.

Plosone

The coding loci rpoB2, rpoC1, and rbcL-a exhibited statistically equal sequence divergence values for the data set (Table 2).

Plosone

For each read set, the KL divergence values are computed and then an average is taken over all read sets.

Plosone

Expert writing Tips

Best practice

When reporting "divergence values", specify the method used for calculation (e.g., sequence divergence, KL divergence) to ensure clarity.

Common error

Avoid using "divergence values" interchangeably with terms like "similarity scores" or "correlation coefficients". "Divergence" specifically implies a measure of difference, not resemblance or association.

Linguistic Context

The phrase "divergence values" functions as a noun phrase, typically serving as the object of a verb or preposition. As Ludwig AI shows, it refers to quantifiable measures of difference or separation.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, "divergence values" is a noun phrase used to quantify differences, particularly in scientific and technical contexts. Ludwig AI confirms its grammatical correctness and common usage. When using this phrase, be specific about the method of calculation and avoid confusing it with measures of similarity. The primary contexts for this phrase are within the realm of scientific research, indicating a formal and precise style.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

disparity metrics

Replaces "divergence values" with "disparity metrics", focusing on the measurement aspect of differences.

variance measurements

Emphasizes the aspect of statistical variance rather than general divergence.

difference indices

Uses "indices" to refer to the values, highlighting their role as indicators of difference.

deviation scores

Focuses on the scores representing deviation from a norm or average.

dissimilarity ratings

Highlights the concept of dissimilarity and uses "ratings" to refer to the values.

separation levels

Emphasizes the degree of separation or distinction.

distinctiveness measures

Focuses on the measures used to quantify distinctiveness.

contrast magnitudes

Highlights the magnitude or extent of contrast between different entities.

differential parameters

Replaces "values" with "parameters", suggesting a more technical or statistical context.

non-congruence indicators

Focuses on the indication of non-agreement or non-alignment.

FAQs

How are "divergence values" typically calculated?

The calculation of "divergence values" depends on the context. In genetics, it often involves comparing DNA or protein sequences. In statistics, it might involve measures like Kullback-Leibler divergence. Always specify the method used.

What does a high "divergence value" indicate?

A high "divergence value" generally indicates a large degree of difference or dissimilarity between the entities being compared. The specific interpretation depends on the context and the units of measurement.

Are there alternatives to "divergence values" that I can use?

Yes, depending on the context. You might use terms like "difference indices", "variance measurements", or "dissimilarity ratings".

What's the difference between "divergence values" and "divergent values"?

"Divergence values" refers to the measured quantities representing divergence, while "divergent values" describes the nature of the values themselves (i.e., they are diverging or differing).