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The list was evaluated for clinical relevance and in terms of its accordance with the outlined definition of substandard medicines used in this study.
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Equations in the list were evaluated from compression data.
In turn, each study was used to derive a gene list, and this list was evaluated with all the other studies.
The ranked gene list was subjected to gene ontology annotation analysis with EASE (Expression Analysis Systematic Explorer) [ 34], in which only biological process ontology categories were included and the enrichment of categories in the gene list was evaluated by comparison with the total list of genes used for the microarray analysis.
Each SNP on the resulting list was evaluated through comparative genomics in three efficiently transmissible strains for its consistent segregation with phenotype.
External consistency of the 24 item list was evaluated by comparing the prevalence of oral disease in the test group to the values founded in previous studies for different groups of children with disabilities.
The resulting protein list was evaluated to discover vantage points for further analysis of the samples, and a list of 20 proteins of interest was compiled (see Table 3 and Additional file 2 for full qualitative and quantitative MS data).
Similar to the analysis shown in Figure 3, co-expressed gene pairs for each dataset were ranked according to distances calculated from one, two, or three species and each ranked list was evaluated using GO and KEGG functional annotation.
Finally, the filtered tool list is evaluated according to a series of five criteria for each tool, including its scalability, cost, time, handling of uncertainty, and applicability to benefit-cost analysis (Phase 3).
In association with the Dutch Rheumatic Patients Organization and the Dutch Polyarthrosis Peer Association, the items on our screening list were evaluated.
The magnitude of the overlap between two gene lists was evaluated as the ratio of the intersection over the union of the two lists.
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