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One way of depicting them is to count them and present them in clusters, with more common ones shown in a proportionately larger font.
Video clusters with more than 50 videos are reported.
All the other clusters with more sensors can only take the same number of sensors with the number of sensors in the base cluster into account.
The method is based on separating clusters into two groups according to size: small clusters containing up to x∗ particles and larger clusters with more than x∗ particles.
In order to quantify the significance of the overlap between different classes, the clusters with more that 30% of overlap are assigned to the common clusters, and the remaining clusters are identified as the discriminant clusters.
However, when examining the table by rows, we see that ({rm BeC textc ^{rm{rp}}}) and ({rm CiU ^{rm{rp}}}) are the clusters with more diversity of users, which may indicate that they receive large attention from the others.
This approach identified 4 clusters with more than 10 genes (Fig. 7C).
The alternative complex set was composed of all clusters with more than 3 components, containing 2325 unique genes.
2099 of the 9991 sequences in the H9 pool belong to clusters with more than 50 sequences.
The simulation results for other clusters with more than 100 β cells (HCP-153 and SCP125, -216, -343) are quantitatively similar (data not shown).
Furthermore, HCE clusters with more than 10 HCEs in preserved order were also found in all the query genomes, comprising 58 HCEs (Table S3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com