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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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through supervised hierarchical clustering

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "through supervised hierarchical clustering" is correct and usable in written English.
It can be used in contexts related to data analysis, machine learning, or statistics, particularly when discussing methods for organizing or grouping data. Example: "The data was analyzed through supervised hierarchical clustering to identify patterns and relationships among the variables."

✓ Grammatically correct

Science

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

NKAIN1 was also an essential classifier in supervised hierarchical clustering analysis.

Science

Plosone

These data were analyzed by supervised hierarchical clustering (Figure 1) and visual inspection indicated that the four subtypes are readily discernible in the Rembrandt dataset.

Science

Plosone

Genes that were expressed at significantly different levels between patients and controls were analyzed by supervised hierarchical clustering (uncentered correlation, complete linkage) [25] to visualize the correlation of co-expressed genes in Treeview (available at http://rana.lbl.gov/EisenSoftware.htm).htm

Science

Plosone

The dendrogram generated by supervised hierarchical clustering shows a clear separation between fed and fasted conditions.

Differential DNA methylation segregated PPR from PGR by supervised hierarchical clustering and may serve as potential biomarkers for prednisolone response.

The differentially expressed miRNAs of all three data sets were identified and summarized (Supporting Table 1), and two distinctive expression clusters of miRNAs were obtained by supervised hierarchical clustering analysis in each data set (Fig. 1C-E).

Science

Hepatology

These were analyzed by supervised hierarchical clustering of samples using z-scored normalized data with a Pearson correlation (uncentered) similarity metric and average linkage clustering using CLUSTER and TREEVIEW software [ 45].

Overall similarities in gene expression across all samples were first computed by means of supervised hierarchical clustering using Cluster (uncentered correlation, average linkage) and the corresponding dendogram was generated using TreeView [ 51].

A Venn diagram (Fig. 2A) and heatmaps of supervised hierarchical clustering on the signature-specific genes (Fig. 2B E) demonstrate that these gene lists partially overlap, suggesting common biological characteristics, including redundant signaling and pathway activation.

A permutation value of P < 0.05 was considered statistically significant and used to select differentially expressed miRNAs for supervised hierarchical cluster analysis.

More specifically, SC-trees are novel supervised hierarchical clustering trees that use node specific dictionary and classifier training to direct input images based on classification results in the feature space at each node.

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Expert writing Tips

Best practice

When describing data analysis workflows, clearly state the specific parameters and distance metrics used within the "supervised hierarchical clustering" to ensure reproducibility.

Common error

Ensure you correctly identify the clustering approach. "Supervised hierarchical clustering" requires labeled data to guide the clustering process, unlike its unsupervised counterpart which identifies patterns without pre-defined categories.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

79%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "through supervised hierarchical clustering" functions as a prepositional phrase modifying a verb, indicating the method or process by which an action is performed. It emphasizes the use of this specific clustering technique as the means to achieve a particular outcome. Ludwig AI confirms its usability in data analysis contexts.

Expression frequency: Missing

Frequent in

Science

100%

News & Media

0%

Formal & Business

0%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "through supervised hierarchical clustering" is a grammatically sound and precise way to describe the use of this specific data analysis technique. According to Ludwig AI, it is suitable for use in formal and scientific writing. While examples are limited, its presence in research articles indicates its acceptance within the scientific community. Alternative phrases include "via supervised hierarchical clustering" or "using supervised hierarchical clustering". When employing this phrase, ensure you distinguish it from unsupervised methods and specify your parameters for reproducibility.

FAQs

How does supervised hierarchical clustering differ from unsupervised hierarchical clustering?

Supervised hierarchical clustering uses labeled data to guide the clustering process, whereas unsupervised hierarchical clustering identifies clusters based on inherent data structure without predefined labels.

In what contexts is "through supervised hierarchical clustering" typically used?

This phrase is commonly used in scientific and data analysis contexts to describe a method of grouping data points based on similarity, guided by known labels or categories.

What are some alternatives to saying "through supervised hierarchical clustering"?

What are the key benefits of performing analysis "through supervised hierarchical clustering"?

Supervised hierarchical clustering allows for the visualization of data relationships while leveraging existing knowledge about data categories, facilitating more informed decision-making.

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Source & Trust

79%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

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