Fig. 3
From: A computational framework for complex disease stratification from multiple large-scale datasets
Overview of the framework. Starting from quality-checked and pre-processed ‘omics data, four key generic steps are highlighted: (a) dataset subsetting, including formulation of the biological question to be answered and data preparation, (b) feature filtering (optional step) where features that are uninformative in relation to the question can be removed, (c) ‘omics-based unsupervised clustering (optional step) aiming at finding groups of participants arising from the data structure using the (optionally filtered) features, and finally d) biomarker identification, including feature selection by bioinformatics means and machine learning algorithms for prediction