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The use of Kohonen, or Self-Organizing, Maps [61] (SOMs) was helpful for visualizing the differences between the sets using distances between molecular fingerprints of the molecules.
Briefly, using the Perl programming language, counts for all kmers between two sets of sequences are tallied and evaluated for significant over-representation between the sets using a Z-test, and all kmers with Bonferroni-adjusted p-value < 0.01 were clustered and aligned into groups of motifs.
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The resulting few overlaps were identified on the basis of personal ID codes, unique to every resident of Finland, and removed from the FINRISK-97 case-cohort set to ensure there was no overlap between the sets used for the analyses.
Here also, the number of instances which were common between the sets used for testing by TAPIR and Target-align were searched.
Then we solved the weighted assignment problem between the two sets using the Hungarian method.
Marked differences in the ability to segregate good and poor prognosis tumors were observed between the data sets using randomly generated gene lists of various sizes (figure 1A and Additional File 1).
Specifically, we recorded the pairwise distance between all reads in the set used for maximum difference threshold clustering.
Figure 4 PCA of the distances between the different descriptor sets using only the first two components per descriptor set.
However, as suggested by results with 'poor' prior (M6), when there is a large difference in exposure between the data sets used to model exposure and true exposure being predicted, the Bayesian normal mixture method is expected to falter relative to the simple collection of relevant data.
We verified that no cross-reaction occurred between the primer sets used to amplify P. vivax CSP and P. knowlesi CSP by using DNA extracted from single infections of both species (data not shown).
We examined the 70 genes with significantly different fold changes between the two redundant probe sets using the Integrated Genome Browser (IGB), an interactive genome visualization tool that can show probes and probe sets together with genomic sequence and sequence annotations (http://igb.bioviz.org).
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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