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Class comparison was performed by using the Class Comparison module of BRB ArrayTools.
These data were analyzed using the class comparison algorithm of BRB-ArrayTools (random variance model), which computes a paired t-test for each gene using the RMA-summarized log-intensities for Affymetrix U133A arrays.
Microarray analysis of whole testes from 12-week old males identified 25 genes that were differentially expressed in Alkbh1−/− versus wild-type, using the class comparison strategy (Fig. 5A).
The data was analysed using the Class comparison module in the BRB-Array Tools software.
The data was analysed using the Class comparison and Class prediction modules in the BRB-Array Tools software.
Differentially expressed genes (DEGs) over the time course were identified using the class comparison tool, performing a paired sample t-test (P value < 0.01).
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To select genes that are differentially expressed in two groups of tissues, we used the class comparison tool in BRB ArrayTools (v 3.6; Biometrics Research Branch, National Cancer Institute, MD, USA) to perform multiple comparisons of t-statistics with estimation of false discovery rate (FDR).
To identify statistically significant genes, we used the "Class comparison" and "F-test/T-test" analyses in BRB-ArrayTools and ArrayAnalysis, respectively.
We used the class comparison feature of BRB-Array Tools [ 27] to identify genes with significantly different expression levels in IMR-90 fibroblasts 4 hours after direct or bystander exposure to 0.5 Gy alpha particles.
The principal component analysis (PCA) visualisation of the clustering of samples using the genes selected in the class comparison was performed using the build-in PCA tool in Qlucore Omnics Explorer 2.1.
The built-in principal component analysis (PCA) tool in Qlucore Omnics Explorer was used only for visualisation of the grouping of samples using the genes selected in the class comparison.
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