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The large RSF population is widely but very unevenly distributed across the main mountain areas: 65% are in seven main clusters, with the rest non-randomly scattered.
Even though the produced clusters were very noisy, the area-under-the-curve methodtended to group together curves in four main clusters, with a predominance ofwell-recognizable shapes: increasing, decreasing, peakyand steady.
Three main clusters with high mutation rate cancers remain together.
The patients formed two main clusters with 40 patients each.
However, there are two main clusters with the two quickly diverging WB BPILs in each cluster (Fig. 5).
Hierarchical cluster analysis showed five main clusters with Clusters 1 and 2 containing the majority of genes.
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We observe one main cluster with genes predicted to relate to each other with edge filter cutoff set to 0.643.
Similarly, the cancer tumor samples from patients 4 and 5 were in the main cluster with five benign samples.
Within CG258, isolates of ST258 and ST512 formed a main cluster with, on average, only 2.1% allelic mismatches, whereas strains of ST11 and ST340 differed from this cluster by 11.0%, indicating genetic substructure within this CG.
The correspondence analysis data points on Days 1, 14, and 28 are outside of the main cluster with the Day 90 profile reaching a maximum distance from the others.
Unsupervised analysis revealed a fairly distinct miRNA expression profile for pPCL relative to MM, as all PCL cases were clustered together and formed a main cluster with a few MM cases, whereas 4 normal samples were clustered as a distinct group [ 86].
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Justyna Jupowicz-Kozak
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