Selected article for: "ODE ordinary differential equation and ordinary differential equation"

Author: Noh, Heeju; Shoemaker, Jason E; Gunawan, Rudiyanto
Title: Network perturbation analysis of gene transcriptional profiles reveals protein targets and mechanism of action of drugs and influenza A viral infection
  • Document date: 2018_4_6
  • ID: j80hnhpb_15
    Snippet: Gene transcription model. The edges in the PGRN have weights, whose magnitudes represent the strength of the gene regulation and whose signs indicate the direction or the mode of the regulation: positive for gene activation and negative for gene repression. The weights are inferred from the gene expression dataset by adapting a procedure described in our previous method DeltaNet (10,11) (see Figure 1B ). The inference of the edge weights is based.....
    Document: Gene transcription model. The edges in the PGRN have weights, whose magnitudes represent the strength of the gene regulation and whose signs indicate the direction or the mode of the regulation: positive for gene activation and negative for gene repression. The weights are inferred from the gene expression dataset by adapting a procedure described in our previous method DeltaNet (10,11) (see Figure 1B ). The inference of the edge weights is based on an ordinary differential equation (ODE) model of the mRNA production of a gene:

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