Example

For the example a graph is generated by spike_in().

By default it generates a table with 500 genes. These 500 genes are bimodal genes which list 500 patients with a 70:30 proportion into low and high expressing patients. These groups are called modalities. The modalities are connected by their patient composition. It is the so called overlap and it is set to 65%, which means that 65% of the patients in one modality can be found in other modalities.
The distance between the means of the two modalities is set to 2, which is the fold change for this gene. These genes are called noise.

In this noise a spike is insert. By default it also contains 500 patients with a 70:30 proportion and a FC of 2. But only 25 genes are generated for the spike. This spike is similar in its patients composition