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Nevertheless, in what follows, we address the model inference procedure for BGS-NMF with LSM prior.
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Thus, the contribution of this study is not about a new method for GRN model inference, but a better understanding of the characteristics of existing formalisms in the context of automated GRN model inference procedures.
The posterior marginal densities are shown in Figure S9, indicating that that our model and inference procedure are robust to slight misspecification of the clonal genealogy.
Because of additional information from the stochastic system model, this inference procedure is advantageous over the standard Bayesian procedure in that it can avoid the identifiability problems associated with standard Bayesian method.
Given the data model above, the inference procedure seeks to recover the k + 1 distributions over gene-copy number or expression that 'unmix' the data.
The simulation and inference procedure was carried out 100 times for each of these models.
To infer demographic parameters under the two-phase population growth model, we employed an inference procedure based on the Maximum Likelihood framework.
Smets and Kennes have claimed that the transferable belief model, a decision and inference procedure based upon the Dempster-Shafer formalism, never exposes the believer to a kind of betting conundrum known as a "Dutch book".
In this section, we briefly describe the model training and inference procedures in which feature weights of the CRF model are learnt from training data and subsequently used to make TFBS predictions.
Section 3 highlights on the construction of BGS-NMF model as well as the inference procedure based on MCMC algorithm.
The most widely used subset selection method stepwise regression with LRT (p = 0.05) returns a model of size 18 (BE) and 19 (FS), where 18 covariates are significant (in both cases), illustrating the failure to incorporate model uncertainty into the statistical inference procedure.
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