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The objective of this study was to design a convenient physician order set comparison system based on claim records from the National Health Insurance Research Database NHIRDD) of Taiwan.
We employed a total of 12 descriptor sets for this amino acid descriptor set comparison, since the feature based ProtFP descriptor set (ProtFP (Feature)) merely uses presence or absence of features and hence could not be included in the numerical distance calculation as all distances would be 1 (maximal).
Figure 5 Comparison of PR n by 3NN and SEA for the drugs from: (A) DrugBank set and (B) TTD set; Comparison of RE n by 3NN and SEA for the drugs from: (C) DrugBank set and (D) TTD set. Figure 6(A) and 6(B) show the F n curves of 3NN and SEA for drugs from DrugBank and TTD, respectively.
Our gene set comparison analyses demonstrate a significant overlap between the ES cell signatures and our chemotherapy resistance signatures.
For our gene set comparison analyses, Entrez IDs [13] of target genes were mapped to probe set IDs on the HG-U133A array (www.NetAffx.com).
The gene set comparison tool analyzes user-defined gene sets for differential expression among pre-defined classes of a source dataset.
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Pairwise comparisons were made between C vs L and C vs L3 and all probe set comparisons reaching P <0.05 were included in the analysis.
We performed three sequence set comparisons of up- versus nonregulated sequences, down- versus nonregulated sequences and up- versus down-regulated sequences.
This method is a modified version of the ANOSVA methods by Cline et al. [17], adapted for pairwise probe set comparisons.
We conducted set comparisons of DE genes across cell types.
Herein, pairwise motif set comparisons are carried out by alignment.
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