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Only codon 7 was found to be positively selected under the three methods (significance threshold of p = 0.1 for SLAC and FEL algorithms; Bayes factor = 50 for REL).
Differential expression was assessed using two methods: Significance Analysis of Microarrays (SAM) [ 48] and LIMMA [ 46].
Section 'Methods: Significance level correction' presents the different methods of correction of the Type-I error.
Based on statistical methods, significance levels were calculated that describe the overrepresentation of functional categories by a list of genes – the differentially regulated genes in our case.
To calculate differences in the transcript levels, the platform supplies two methods: Significance Analysis of Microarray (SAM) and T-test statistical analysis.
Among the many statistical methods, significance analysis of microarray (SAM) [ 16, 17], empirical Bayes analysis of microarrays (EBAM) [ 18], and empirical Bayes statistics (eBayes) [ 19] are three commonly employed approaches to screen DEGs.
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Differences between tests were checked by χ method, significance being set at P<0.05.
The first method, Significance Analysis of Microarrays (SAM) [ 15], identified genes whose expression consistently differed between infected and mock-infected mice over the entire time course.
With the Hochberg method, significance could be declared for both of the primary haemodynamic variables if both had two-sided P ≤ 0.050.
The means of relative expression for each sample were examined using one-way analysis of variance (ANOVA) method (significance at P < 0.05).
Alternatively we have used the Bayesian method Significance Analysis of Microarray (SAM) to estimate the false discovery rate (FDR): 8,370 of the 27,578 CpG sites represented on the microarray were differentially methylated (FDR = 5%).
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