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The p values for each pathway were calculated using hypergeometric over representation approach with Bonferroni's Multiple Comparisons Test.
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The similarity score for each pair of the 68 genes in the pathway was calculated using the FSim method.
In this study, estimates of various enzyme activities in purine pathways were calculated using the product to precursor ratios for each enzyme.
Over-represented pathways were calculated using a hyper-geometric statistical comparison.
The psc of 637 molecular pathways were calculated using the gene expression data from VD+ and VD− samples.
Since many gene sets are redundant, the effective number of pathways was calculated using an approach previously proposed to calculate the effective number of tests for genotype data [52].
The optimal metabolic pathways are calculated using linear optimization and are then interpreted using the extreme pathways.
Overrepresentation of KEGG pathways was calculated using the R function phyper and the family-wise error rate and false discovery rates were calculated using the R function p.adjust.
Firstly, p-values for each pathway pair were calculated using 100 permutations.
P-values for pathway enrichment analysis were calculated using the formula for hypergeometric distribution and reflects the probability for a pathway to arise by chance.
Over-represented pathways for given gene lists were calculated using a classical hyper-geometric statistical comparison of a query gene list against a reference gene list using GOstats.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com