Fig. 1From: Shambhala: a platform-agnostic data harmonizer for gene expression dataSchematic representation of Shambhala pipeline for harmonization of gene expression data. Various profiles from samples (1… N) obtained at different platforms are taken one-by-one, merged with an auxiliary calibration dataset P0 and then quantile-normalized with it. This produces the dataset P, which is then transformed into the shape of the definitive dataset Q; during transformation, only the dataset P changes, while Q remains constant. The result of such a conversion, dataset P1, contains the transformed profile for sample i, which is considered harmonized. Profiles from all other samples (1,…,N) are harmonized one-by-one using the same algorithmBack to article page