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Bioinformatics with R Cookbook by Paurush Praveen Sinha

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Handling time series data

As we discussed different conditions or treatments during experiments, the use of time as a treatment is among the popular methods. A cell sample is given a certain treatment, and its expression can change along the course of time. For illustration, we can consider that during stem cell or embryonic development, the expression of genes at different time points will vary. Handling such time course expression data, though not much different from the standard protocol described earlier, needs small modifications in our recipe.

Getting ready

To start with the recipe, we need time course data. In this recipe, we will use the yeast dataset from the Mfuzz package. This, of course, requires the installation of the Mfuzz package ...

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