Type of method Method family Method adopted
Unsupervised pattern recognition methods Methods based on data projection to other dimensions Principal Component Analysis (PCA)
Nonnegative PCA
Methods based on correlation analysis Canonical Correlation Analysis (CCA)
Sparse Canonical Correlation Analysis (SCCA)
Cluster analysis methods Hierarchical Clustering
Supervised classification methods Methods based on PCA Soft-Independent Model of Class- Analogy (SIMCA)
Principal Component Analysis – Discriminant Analysis (PCA-DA)
Ranking-PCA
Bayesian methods Linear Discriminant Analysis (LDA)
Diagonal LDA (DLDA)
Methods based on projection to latent variables Partial Least Squares Discriminant Analysis (PLS-DA)
Orthogonal Partial Least Squares (OPLS)
Classification trees Classification and Regression Tree (CART)
Random forests (RF)
Machine learning Support Vector Machines (SVM)
Table 1: Unsupervised and supervised methods for biomarker identification.