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Discover LudwigThe phrase "accurately clustered" is correct and usable in written English.
You can use it when describing data or items that have been grouped together in a precise or correct manner.
Example: "The data points were accurately clustered, revealing distinct patterns in the analysis."
Alternatives: "correctly grouped" or "precisely categorized".
Exact(2)
Supervised HCA of these genes again accurately clustered the three groups, this time with the trisomy 8 cultures being placed in a single branch.
PCA of only BACs on chr8 revealed 81 significant clones (6.2% of the 1,312 BACs covering chr8), and supervised HCA of these BACs again accurately clustered the three groups, this time with the trisomy 8 cultures constituting a single branch.
Similar(58)
We describe a process to automatically identify the best combination of such attributes to most accurately cluster similar websites together.
They concluded that a large fraction of the 'rare microbiota' was composed of pyrosequencing errors and introduced a method to accurately cluster the reads based on their expected errors.
This analysis also illustrated the ability of the genotype data to accurately cluster individuals into known families.
Although the populations were significantly condensed at higher concentrations, we were still able to accurately cluster droplets with a final DNA template concentration up to 10 ng/μL.
Results: Our algorithm demonstrates the ability to accurately cluster similar sub-cavities and to predict binding patterns across a diverse set of protein ligand complexes.
The OrthoMCL pipeline accurately clusters orthologous proteins, facilitating the complex task of grouping proteins that are likely to share biological function in divergent organisms [ 46], and performs better than approaches that simply use domain presence information or aggregative approaches such as psiBLAST [ 47].
When compared to a phylogenetic map constructed using 16S rRNA, this map more accurately clusters prokaryotes according to functional and environmental attributes.
We are currently working on a clustering procedure that explicitly accounts both for edit distance and read abundance to more accurately cluster sequences derived by very high throughput sequencing.
As previously mentioned, even if only datasets under normal conditions and any one of all possible fault conditions are available, the normal population can still accurately be clustered and characterized.
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