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To interpret the biological importance of this bicluster, the PANTHER database was used to define significantly enriched functional categories among the 306 probe sets.
The Gene Set Analysis (GSA) package in R was used to define significantly enriched gene categories, here the "Maxmean" statistics was used to calculate enrichment scores, and permutation based p-values were derived from 1000 bootstrap replicates.
A cutoff value of P < 0.05 was used to define significantly enriched pathways.
Significant pathway analysis with entity list FC 1.5 was used to define significantly altered pathways.
For downstream analyses, a dual threshold of |log2 fold-change| > 1 and padj < 0.01 was used to define significantly altered transcripts, unless otherwise specified.
A nominal P value of 0.01, corresponding to an FDR of 5% as determined by random permutations, was used to define significantly sex-biased genes.
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The common genome-wide level significance threshold (p < 5 × 10-8) was used to define 1,909 significantly trait-associated SNPs from 586 studies.
In a preplanned analysis, when a more stringent criterion of 30% or greater reduction in the FIQ total score was used to define moderate/good responders, significantly greater proportions of subjects in the SXB groups met the criterion versus placebo (p<0.001; table 2).
To identify significant changes, the following criteria were used: 1) p-value less than 0.05; 2) a fold change of 1.3 was used to define a set of significantly up- and down regulated genes; 3) the over 1.3 fold change should be reproducible across all comparisons.
In all experiments, a p-value threshold of p < or = 10-5 was used to define a probe as being significantly differentially expressed between two samples.
In most of the commercially available tests the cut-off values used to define a positive result vary significantly, even when the antigenic substrate is provided by the same manufacturer [ 23].
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