Structure-primed embedding on the transcription factor manifold enables transparent model architectures for gene regulatory network and latent activity inference
Abstract Background Modeling of gene regulatory networks (GRNs) is limited due to a lack of direct measurements of genome-wide transcription factor activity (TFA) making it difficult to separate covariance and regulatory interactions.Inference of regulatory interactions and TFA requires aggregation of complementary evidence.Estimating TFA explicitl