They further demonstrate the feasibility of their method to identify fibroblast subpopulations in a wound-healing model by detecting thousands of differentially expressed genes.
Finally, we used human diabetic kidney disease (DKD) as a case to demonstrate the utility of the kidney model by detecting the influence of differentially expressed genes (DEG) on kidney metabolism.
Other than detecting loci in Epistasis Models, the statistical power of Dependency Models is defined by detecting the correct relationships of the correct corresponding variations, which is challenging.
Then confirmation experiments to verify the successful establishment of these models were conducted by detecting the cellular and lobular architecture, and liver function indexes using hematoxylin-eosin staining, Masson's trichrome staining and microplate method, respectively.
The in vitro model was verified by detecting the EMT markers and increased invasion of the cells.
In our initial study, we tried to optimize the model procedure mentioned above by detecting the efficiency of different reaction conditions, such as piperidine/EtOH, p-TSA/EtOH, AcOH/EtOH, AcONa/AcOH, H2SO4/AcOH, DBSNa/MeOH, DBSNa/EtOH, DBSNa/H2O, DBSNa/AcOH (Table 2).
Furthermore, outlier diagnosis was performed on the whole data sets to identify the applicable range of all models investigated in this work by detecting the probable doubtful MMP data.
The structure aware and non-stationary models greatly improved the results by detecting "problematic" taxa and by resulting in increased node support for well established subgroups.
Turner et al. [ 18] had proposed a stochastic method to discover genetic mechanisms that can affect human trait for the disease processes by detecting and modelling gene-gene and gene-environment interactions.
In such a scenario we can easily learn a background model and identify objects of interest by detecting changes to the background.
