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Discover LudwigThe phrase "a dendrogram that has" is correct and usable in written English.
It can be used when describing a dendrogram that possesses certain characteristics or features.
Example: "The study presented a dendrogram that has distinct clusters representing different species."
Alternatives: "a dendrogram featuring" or "a dendrogram containing".
Exact(1)
We only took a dendrogram that has correctly identified all original cluster sets.
Similar(58)
The output for this program is a dendrogram that was displayed using the program Treeview [11].
Hierarchical clustering (condition tree) using a Pearson correlation similarity measure with average linkage was used to produce a dendrogram that indicated biological replicates were grouping together.
This method computes a dendrogram that combines all genes in a single tree.
Figure 4 presents a dendrogram that depicts measure consistency for the 1000 motifs case.
In each step, similar sub-trees (clusters) are merged to form a dendrogram that clearly shows the different distinct clusters.
Melanocytes that had been transduced with control shRNA formed one branch of the dendrogram, while melanocytes that had been transduced with P53 shRNA formed another branch that was more closely related to all of the melanoma cell lines (regardless of P53 expression) than it was to melanocytes transduced with control shRNA.
The Multi Locus Sequence Typing (MLST) dendrogram of six Brachyspira strains that have undergone genome sequencing, and three that are currently within unpublished genome sequencing projects being undertaken by the authors was calculated and constructed from the concatenation of 7 gene nucleotide sequences (adh, pgm, est, glp, gdh, thi, alp) [ 37].
Therefore, to create the dendrogram, we did only use those pairs that had at least 4 common values.
A comparison of the dendrograms in Figures 4A and 4C suggests a number of cases in which PNs that have similar projections in the LH also have similar projections in the MB.
The dendrogram was cut at level 0.2 in order to cluster those events that have average cross-correlations equal or larger than 0.8.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com