The relevant results are discussed within simulation studies followed by a pre-evaluation of the proposed method with experimental real-time test bench based applications.
Our simulation studies follow the standard procedure in phylogeny reconstruction (see, e.g., [ 36]): we generate model trees under various parameter settings, then use each model tree to produce a number of true trees on which we evolve artificial genomes from the root down to the leaves to obtain datasets of leaf genomes for which we know the complete history.
As stated above, our study is situated within the context of ILSAs; hence, we designed our simulation study as follows.
For our simulation study, we follow the dose-finding algorithm proposed by Thall and Cook [ 4].
Readers who are not interested in the technical details of our method can skip to the simulation study that follows.
We briefly report results of those simulation studies as follows.
In addition, we have used stochastic and mathematical simulation studies to follow the kinetics of XCI in a population of developing or differentiating cells.
To test the utility of the proposed framework, a simulation study was conducted, followed by an analysis of meta-dimensional omics data including copy number, gene expression, DNA methylation, and protein expression data in breast cancer retrieved from The Cancer Genome Atlas (TCGA).
The conclusion that can be drawn from the simulation study are as follows:.
The steps in the simulation study were as follows: In the first step, we simulated i = 1,2,3,4,5,6; j = 1,2,..., n i.
