<p>Boxes refer to variables in the model, where latent variables are represented by dotted line boxes. Circles refere to parameters, where the red ones are the indicators used for posterior inference.</p
<p>Each column represents an experimental condition, and each row represents a gene that is differen...
Graphical modelling in its modern form was pioneered by Lauritzen and Wer-muth [43] and Pearl [55] i...
<p>The differentially expressed genes were identified with the criteria (twofold or more change and ...
<p>Shaded circles represent observed variables, and unshaded circles represent latent variables to b...
<p>Nodes correspond to variables in the model and edges correspond to dependencies between variables...
<p>Panel (a) shows the heatmaps of the genes by sample matrix constructed from data for three platfo...
<p>Shaded circles represent observed variables, and unshaded circles represent latent variables to b...
<p>The blue boxes denote the tools (edgeR, DESeq2, Cuffdiff) used in the step of identifying differe...
<p>Shown are the observable variables (rectangles), generative object and illumination components (r...
<p>Black dots highlight posterior probabilities of genes which are claimed by the model to show join...
<p>Shaded circles represent observed variables, and unshaded circles represent latent variables to b...
<p>Diagram based on the expression counts of 2 genes (<i>i</i>: biological and <i>i</i>′: technical)...
<p>Graphical model representing the relation between phenotypes, coding variants and gene latent var...
The columns represent red and green sectors, and different rows represent different genes. Color rep...
<p>The base model (intercept and variable of interest) is presented in green, traditional subject va...
<p>Each column represents an experimental condition, and each row represents a gene that is differen...
Graphical modelling in its modern form was pioneered by Lauritzen and Wer-muth [43] and Pearl [55] i...
<p>The differentially expressed genes were identified with the criteria (twofold or more change and ...
<p>Shaded circles represent observed variables, and unshaded circles represent latent variables to b...
<p>Nodes correspond to variables in the model and edges correspond to dependencies between variables...
<p>Panel (a) shows the heatmaps of the genes by sample matrix constructed from data for three platfo...
<p>Shaded circles represent observed variables, and unshaded circles represent latent variables to b...
<p>The blue boxes denote the tools (edgeR, DESeq2, Cuffdiff) used in the step of identifying differe...
<p>Shown are the observable variables (rectangles), generative object and illumination components (r...
<p>Black dots highlight posterior probabilities of genes which are claimed by the model to show join...
<p>Shaded circles represent observed variables, and unshaded circles represent latent variables to b...
<p>Diagram based on the expression counts of 2 genes (<i>i</i>: biological and <i>i</i>′: technical)...
<p>Graphical model representing the relation between phenotypes, coding variants and gene latent var...
The columns represent red and green sectors, and different rows represent different genes. Color rep...
<p>The base model (intercept and variable of interest) is presented in green, traditional subject va...
<p>Each column represents an experimental condition, and each row represents a gene that is differen...
Graphical modelling in its modern form was pioneered by Lauritzen and Wer-muth [43] and Pearl [55] i...
<p>The differentially expressed genes were identified with the criteria (twofold or more change and ...