Structure-primed embedding on the transcription factor manifold enables transparent model architectures for gene regulatory network and latent activity inference

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...

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Bibliographic Details
Main Authors: Andreas Tjärnberg, Maggie Beheler-Amass, Christopher A. Jackson, Lionel A. Christiaen, David Gresham, Richard Bonneau
Format: Article
Language:English
Published: BMC 2024-01-01
Series:Genome Biology
Online Access:https://doi.org/10.1186/s13059-023-03134-1

Internet

https://doi.org/10.1186/s13059-023-03134-1

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