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Bi-dimensional clustering clearly separated MSCs and fibroblast lineages, with two predominant clusters that differed between both lineages.
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Two predominant profile clusters were identified and, for each array probe, differential expression between clusters was assessed using a moderated t-statistic (Bioconductor limma) with P-values corrected for the effects of multiple hypothesis testing over all probes using the false discovery rate (FDR) correction of Storey and Tibshirani (Storey and Tibshirani, 2003) (Bioconductor qvalue).
This revealed two predominant profile clusters (Fig. 4A) differing in DLL1 expression, which we called the D+ and D-clusters.
Two other predominant clusters were found that were related to uncultured Firmicutes and uncultured Bacteroidetes.
Interestingly, five heterosexual predominant clusters were comprised mainly of females, including one large cluster (n = 7) where 86% individuals were female.
This phylogenetic analysis revealed three predominant homology clusters.
In consequence, four predominant expression clusters (ECs) were identified and designated as EC-I, -II, -III, and -IV considering more than 10 successively up-regulated (expression ratio ≥ 1.0-fold) adjacent clones as a cluster.
Among the predominant clusters, two SIT signatures (SIT459, SIT204) were found to be prevalent and each split into two subtypes.
The two predominant modules, confirmed by functional annotation clustering, were (i) AD/neurodegeneration, as expected, but also (ii) cardiovascular/coronary artery disease [ 286].
There are two predominant types of diabetes.
The steps come in two predominant sizes.
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