5 research outputs found
Schematic workflow of the analysis of gene expression time-course data.
<p>Samples were collected 0.25, 0.5, 1, 2, 4, 8 and 24 hours after sham or actual irradiation. Transcriptional profiling was performed using Agilent gene expression microarrays and comprises three major steps: the identification of differentially expressed genes from time-course expression data by employing a natural cubic spline regression model; the use of regularized dynamic partial correlation method to infer gene associations networks from differentially expressed genes and the topological identification and functional characterization of the key nodes in the reconstructed networks.</p
Example of fitted spline regression models.
<p>The plot shows spline regression models fitted to the measured time-course expression data of an arbitrary chosen gene (BBC3). The blue line represents the fitted model for the control (0 Gy) and read line that for the irradiated group (1 Gy). Blue and red dots represent the measured expression levels of the biological replicates. Vertical lines represent the endpoints and interior knots correspond to the 0.33- and 0.66-quantiles.</p
Number of detected and differentially expressed genes for each dose and cell lines for NCSRM and BETR methods.
<p>Number of detected and differentially expressed genes for each dose and cell lines for NCSRM and BETR methods.</p
Comparison of hub genes in networks resulting from different methods.
<p>Comparison of hub genes in networks resulting from different methods.</p
Number of genes subjected to GAN reconstruction and properties of resulted GANs.
<p>Number of genes subjected to GAN reconstruction and properties of resulted GANs.</p