Sentence examples for statistical analysis steps from inspiring English sources

The normalization and statistical analysis steps were performed with scripts written with R software.

Signal values were then used in further statistical analysis steps such as paired and unpaired Student t-test in Excel.

On the downside, this approach introduces many potential sources of noise arising from different preprocessing, normalization and statistical analysis steps (Cahan et al., 2007).

Since we noticed that genes were often detected in only one progression state by statistical differential expression analysis while fold changes indicated a difference to the normal condition in both states, we constructed so-called extended gene sets to reduce the effect of false negative findings in the statistical analysis step.

Statistical analysis: step-by-step multiple logistic regression.

To combine these predictions, and to use the statistical properties of the background distribution, we performed an additional statistical analysis step to test for a significant difference in the predicted phosphorylation of the proteins compared with the DME controls.

After selecting the pre-processing method, the webpage allows selecting the cut-off p-value and fold change for differentially expressed genes from the results of the statistical analysis (Step 3).

In the following sections we focus on the bioinformatics analyses, including the basic statistical analysis, the step-wise generation of the multi-layer networks and the visualization and comparison of results.

Keeping in mind that previous results may be flawed due to the serious difficulty of obtaining a balanced statistical analysis, we step in the other direction aiming for an inference algorithm that is simpler than most other methods.

In 2014, we launched the Workflow4Metabolomics (W4M; http://workflow4metabolomics.org) online infrastructure for metabolomics built on the Galaxy environment, which offers user-friendly features to build and run data analysis workflows including preprocessing, statistical analysis, and annotation steps.

To identity the risk factors for overlap, the statistical analysis involved three steps: description of variation with all potential risk factors for overlap, univariate analysis of the probability of overlap with single independent variables and multivariate analysis using logistic regression.