Abstract: A method for analysis of omics data related to samples derived from a human, animal or disease model is disclosed. The method comprises the steps of: a) Determining a plurality of latent spaces by inputting the omics data into a plurality of omics neural networks in parallel and achieving a plurality of latent spaces each comprising a set of latent factors by performing the calculations of the plurality of omics neural networks in a data processing unit, wherein the output of the omics neural networks each provides a respective latent space; b) Consolidating the plurality of latent spaces into one reproducible latent space, wherein the step of consolidating is processed by a data processing unit; wherein the consolidated latent factors represent characteristics of the samples to be analyzed.