Code for 'Associating expression and genomic data using co-occurrence measures'
All important functions are located in OmicsData.py. There are two important classes:
- ContinuousOmicsDataset: for qualitative data for continuous measurements such as expession
- DiscreteOmicsDataSet: for quantitative omics data such as presence of mutation/CN changes
Expression data can be made quantitive by applying a binning function on ContinuousOmicsDataset.
Other scripts are used for generating the results in the paper.
A simple example will be added shortly.