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As shown in Supplementary Figure S1, all distance formulas cluster the correct sample pairs together.
The dendrogram on the top of Figure 4 shows how histone modifications by the 199 histone-modifying formulas cluster.
The latter controls for within-cluster correlation and was derived using the formula (1+ (cluster size-1)×intracluster correlation) (r), where average cluster size=16 and r is assumed to be 0.03.
Therefore, our aim is to provide a sample size formula for cluster randomized stepped wedge designs.
The sample size was estimated using a standard formula for cluster surveys [ 29].
We used Hayes and Moulton's (2009) formula for cluster randomized trials with a quantitative endpoint [ 22].
46 The design effect was calculated using the formula: 1+ (cluster size 1)×ICC).
We used the standard sample size calculation formula for cluster sampling in cross-sectional studies and adjusted for a design effect of two and an inflation factor of 0.85 [ 14], resulting in a targeted sample size of 785 households.
The number of Jamu pairs, that is, the number of edges in the network, affect the number of DPClusO resulting clusters and number of Jamu formulas per cluster.
It is unveiled that BMG formulas satisfy three ubiquitous rules: cluster formula of the form [cluster](glue atom 1 or 3 with 24 valence electrons per unit formula, the center and the glue sites occupied by the same atomic species, and the BMG composition falling within the eutectic zone.
For a GO term clustering score measure, we use subgraphs instead of clusters in the formula (10), (10) clustering score = 1 - ∑ i = 1 n s m i n (p i ) + (n i ⋅ cutoff ) (n s + n i ) ⋅ cutoff, where min(pi) is the P-value of each subgraph, n s is the number of significant and n i is the number of insignificant subgraph.
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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