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These Supplementary Files serve as a resource for relating expression and methylation probes to the modules.
Gene set tests are valuable for increasing statistical power, organizing and interpreting results and for relating expression patterns across different experiments.
Gene set tests are valuable for relating expression patterns across different studies, even across different platforms or species (Manoli et al., 2006).
Additional file 3 reports the differential expression results in humans for studying contrasting pSS versus controls, sicca patients versus controls, and pSS versus sicca patients, and for relating expression data to gender in control subjects.
Statistical analyses were performed with Apple Numbers 2009, Microsoft Excel 2008, and SAS JMP 7. Multivariate regression analyses were performed relating expression and infertility, including survival analysis and logistic regression.
Levels of a particular mRNA are compared between different samples, by relating expression levels of the test gene to those of a control gene, the expression of which is constant between samples.
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Large-scale RPE related expression studies were performed using cDNA arrays, serial analysis of gene expression (SAGE), expressed sequence tag (EST) analysis, and multiple RT-PCRs.
The program Genesis [35] was used to visualize the relative expression profiles, to group related expression profiles with k-means clustering and to group tissues with hierarchical clustering.
PEG10 promotes cell proliferation [15], [16], blocks cell death after serum deprivation [28] and disease related expression of PEG10 inhibits apoptosis [16], [20], [21].
This set of common age related expression changes is therefore linked to the biology of the aging process in the brain.
Using a modified approach, we report quantification of endogenous cyclin B1 and generation of the cell cycle time related expression profile.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com