StatGene

Method

The entire StatGene pipeline can be executed by:

compute(sample_info, label_info, ...[, ...])

This function compute the mutational load and shingles, storing them in a folder as csv file

Alternative, one can using the following API:

Collection of common pre-processing functionalities.

`compute_mutational_load`(sample_data, ...[, ...])	Function to compute the mutational load files
`train_test_split`(label_info, ...[, ...])	Split data into training and test set.
`permute_labels`(label_info[, seed])	Permute the sample labels.

compute_shingle(train_samples, test_samples, ...)

This function compute the shingles, generating the train and test sample

An example of usage can be found in this tutorial