Supervised learning of gene-regulatory networks based on graph distance profiles of transcriptomics data

Lignende værker

• GeneReg: a constraint-based approach for design of feasible metabolic engineering strategies at the gene level
  af: Razaghi-Moghadam, Zahra, et al.
  Udgivet: (2020)
• Integration of relative metabolomics and transcriptomics time-course data in a metabolic model pinpoints effects of ribosome biogenesis defects on Arabidopsis thaliana metabolism
  af: Pries, Christopher, et al.
  Udgivet: (2021)
• Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks
  af: Wang, Juexin, et al.
  Udgivet: (2020)
• Reaction lumping in metabolic networks for application with thermodynamic metabolic flux analysis
  af: Seep, Lea, et al.
  Udgivet: (2021)
• Unraveling gene regulatory networks from time-resolved gene expression data -- a measures comparison study
  af: Hempel, Sabrina, et al.
  Udgivet: (2011)