================================== Tutorial 2.5: Overlapping analysis ================================== Compare the overlapping of significantly up-regulated genes in our experiment and in other lung experiments imported from IntOGen. Files needed ------------ The files needed for this tutorial are the same as the ones for tutorial 2.4. - `intogen\_lung\_upreg\_plus\_gse19188.cdm.gz `__ : matrix file containing p-values for upregulation per gene for 11 experiments imported from IntOGen and the experiment from Hou et al. that we analyzed in the previous tutorial. - `intogen\_lung\_upreg-columns.tsv.gz `__ : file with annotations of columns (experiments) for the matrix above - `intogen\_lung\_upreg-rows.tsv.gz `__ : file with annotations of rows (genes) for the matrix above Run overlapping analysis ------------------------ See `this chapter `__ for details on how to perform overlapping analysis - We will do an analysis to see how many genes that are significantly up-regulated in each of the experiments are also significantly up-regulated in the other experiments. - Select file:`intogen-lung-upreg-plus-gse19188.cdm.gz` as data file - In Data Filtering Options choose “Transform to 1 (0 otherwise) cells with values less than 0.05” - In Configure Overlapping Options, select: Replace empty values by 0. Apply to columns. Click Next. - Select a destination folder and file name and click Finish. Change labels of rows and columns --------------------------------- - In properties/columns, select the file file:`intogen-lung-upreg-columns.tsv.gz` and choose “authors” and “year” as label to show in the columns instead of the id of the experiment. - Do the same for rows. Change the value to be displayed in the heatmap ----------------------------------------------- - Select the value “Row only proportions” to show in colors the proportion of genes in the experiment of the column that are up-regulated in the experiment of the row. Explore the results ------------------------------------------------- .. image:: img/tutorial-gitoolscasestudy2.5.png