These methods can be used for exploratory analysis of the data and unsupervised 'clustering'. While for the supervised methods, partial least squares regressor (PLSR), partial least square discriminant analysis (PLS-DA), and linear discriminant analysis (LDA) have been implemented. These supervised methods require a list of values corresponding to each file/column from the aligned data, enabling the analysis of correlating features to a certain underlying trend.