Selected article for: "second time point and time point"
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_22
    Snippet: where s ki is the time derivatives (slope) of the log 2 FC of gene k in sample i. In contrast to Equation (4), Equation (5) was derived without assuming pseudo steady-state, which was necessary to account for the dynamics of gene expressions. The slopes of the log 2 FC at each sampling time point were computed using a second-order accurate finite difference approximation (37) . In summary, the estimation of edge weights in ProTINA involved the fo.....
    Document: where s ki is the time derivatives (slope) of the log 2 FC of gene k in sample i. In contrast to Equation (4), Equation (5) was derived without assuming pseudo steady-state, which was necessary to account for the dynamics of gene expressions. The slopes of the log 2 FC at each sampling time point were computed using a second-order accurate finite difference approximation (37) . In summary, the estimation of edge weights in ProTINA involved the following linear regression problem:

    Search related documents:
    Co phrase search for related documents
    • finite difference and second order: 1
    • finite difference and steady state: 1, 2
    • finite difference and time point: 1
    • gene expression and linear regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
    • gene expression and linear regression problem: 1
    • gene expression and second order: 1
    • gene expression and steady state: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26
    • gene expression and time point: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39
    • gene expression dynamic and linear regression: 1
    • gene expression dynamic and time point: 1
    • linear regression and sampling time point: 1, 2
    • linear regression and second order: 1
    • linear regression and steady state: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • linear regression and time point: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
    • linear regression problem and steady state: 1, 2
    • sampling time point and time point: 1, 2, 3, 4, 5
    • second order and steady state: 1
    • steady state and time point: 1, 2, 3, 4