Multi-OMICs Factor Analysis (MOFA)

MOFA is a typical hypothesis-free data exploration framework, It allows data integration by extracting common axes of variation from the multiple OMICs layers. Given several data matrices with measurements of multiple ’omics data types on the same or on overlapping sets of samples, MOFA infers a low-dimensional data representation in terms of (hidden) factors which can be then visualized and interpreted.