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More than 95% of such clusters tend to dissipate in about 100 million years, the study authors pointed out – just a fraction of a typical star's lifetime – blown out in part by the same forces that would have removed clustered stars' planetary debris.
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First, vectors of the removed cluster are re-partitioned to their nearby clusters.
The time complexity depends on the size of the removed cluster.
In step 2, a new partition is found for every vector in the removed cluster.
We removed clusters with fewer than three proteins.
We removed clusters containing less than 3 members from further analysis.
We removed clusters composed of less than 10 ESTs, leading to a set of 3,599 UniGene clusters.
We removed clusters and terms under each annotation cluster that had P-values larger than 0.05; Table S13 lists 42 enriched clusters with significant P-values.
For the purpose of RMSE comparisons one subject with ratings at only two levels was removed (cluster 9 in Figure 2).
Our predictions are already statistically significant; since we removed clusters with random enrichment in PI proteins, the number of possible predictions is automatically decreased, thus decreasing the F-scores.
Due to the substantial overlap of tRNAs and Ty/LTRs, we treated these features as one group so that only half of tRNAs and Ty/LTRs were lost when we removed clusters of features.
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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