Bar Plot from Scientific Research

To make the model completely interpretable and transparent we use explained relative variance (ERV) ξ². ERV estimate importance of all latent factors influence on model output features. This is then used to evaluate the model and its performance. The GRN is cross validated, where genes to TF connections are held out in the input and predicted in the GRN which for the shallow model is and for the hierarchical model is the indirect effect from the TFs to output features. The measured recovery of these links gives insight on stability and biological relevance of the GRN where parameters are ranked by their predictability measured by ξ².

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