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The domain domain interaction map displays the frequency of contacts between every pair of domains for a given cluster of solutions.
Finally, we performed the following analysis: For a given cluster of solutions, we computed the probability of finding a given protein at any point in space (i.e., the localization density map).
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Using the BINGO 2.0 plugin [ 34] of Cytoscape [ 35] it is possible to obtain for a given clustering of proteins all of the annotated functions from the three categories as described above.
For any given cluster of NT P. f. proteins, the subset of entries that form either direct or indirect protein-protein interaction pairs among themselves was identified.
Finding a representative time series for a given cluster requires identifying one of the constituent time series which best characterizes the phenotypic diversity of the cluster.
We present an explicit formula for obtaining the number of clusters for a given cluster size and the cluster size for a given number of clusters for a specific power.
For a given cluster size we plot the number of families from a given region.
We used the mean estimates of the posterior probabilities of the data for a given cluster number L K) and the statistic ΔK proposed by Evanno et al. [ 24] to estimate the number of clusters.
Thus, neither the mean estimates of the posterior probabilities of the data for a given cluster number K nor the Δ K values gave a clear indication how many Xerocrassa species can be distinguished on Crete.
The average number of reads per cluster was 19.5 and 10.3, and the maximum number of reads for a given cluster was 1,969 and 2,395 in RL and CD19+ B-cells, respectively.
For a given cluster, we quantified the differences in variation of gene expression between the two genotypes by calculating the correlation between the two genotype-specific subsets of the cluster mean.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com