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correct some typos
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vignettes/data_analysis_omics_using_the_structtoolbox.Rmd

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DE
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```
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Full processing of the data set requires a number of steps. These will be applied using a single `struct` model sequence (`model.seq`).
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Full processing of the data set requires a number of steps. These will be applied using a single `struct` model sequence (`model_seq`).
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## Signal drift and batch correction
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A batch correction algorithm is applied to reduce intra- and inter- batch variations in the dataset.
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## Feature filtering
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In the journal article three spectral cleaning steps are applied. In the first filter a Kruskal-Wallis test is used to identify features not reliably detected in the QC samples (p < 0.0001) of all batches. We follow the same parameters as the original article and do not use multiple test correction (`mtc = 'false'`).
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In the journal article three spectral cleaning steps are applied. In the first filter a Kruskal-Wallis test is used to identify features not reliably detected in the QC samples (p < 0.0001) of all batches. We follow the same parameters as the original article and do not use multiple test correction (`mtc = 'none'`).
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```{r}
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M3 = kw_rank_sum(

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