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To compare curve shapes, a population of slopes was calculated from biological and statistical replicates.
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Furthermore, each figure legend now contains information on the number of biological and technical replicates, the statistical tests performed, and values for the significance levels in the graphs.
All experiments were performed as three biological replicates and statistical analysis (ANOVA) was performed using Statistical Package for the Social Science (SPSS) statistical software package release 16.0 (SPSS Inc., Chicago, IL, USA).
All the assays were carried out in technical triplicates with 2 biological replicates and statistical analysis of data was performed using single-factor ANOVA followed by Tukey's post hoc analysis.
Survival curves were produced for each biological replicate, and statistical analysis was performed by using one-way analysis of variance (ANOVA) followed by a Tukey post hoc test; P values of <0.05 were considered to be statistically significant.
For these experiments, n = 1 biological human lung sample was used in statistical replicates (triplicates) whereas all other samples used biological replicates (n = 3).
Thus, we evaluated the structure of biological variability and statistical modeling strategies useful for determining differential expression in mRNA-Seq data with true biological replicates.
Three biological and technical replicates were analyzed.
A biological and technical replicate of the DNA microarray was performed to allow a statistical analysis of the data (Supplementary Fig. 4) and changes in CNOT2-dependent gene expression of all CNOT2 gene arrays are displayed in Fig. 4A.
Comparisons were made by unpaired t-test, including all technical and biological replicates; statistical significance was determined by P < 0.05.
Four biological replicates and four technical replicates for each biological replicate were used.
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