Sentence examples for model that samples from inspiring English sources

In addition to the four models above, I also assessed the behavior of a model that samples over ordered divergence models (i.e., the order of the taxon-specific summary statistic vectors were maintained for the observed and simulated datasets); all other settings were identical to the M D P P model.

Figure  8 shows the estimated posterior probability distribution over the number of divergence events when the data from the nine-taxon pairs from the Islands of Negros and Panay are analyzed under DPP models that sample over unordered (M DPP ) and ordered (M ° DPP ) models of divergence.

In this study, sequential and temporal changes in gene expression during DCIS invasive progression have been characterized by utilizing two systems: DCIS cell line-derived mouse intraductal (MIND) xenograft models (SUM225 and DCIS.COM) and a tandem DCIS/IDC model that uses samples from patients afflicted with DCIS that are synchronous with IDC within the same breast.

Another issue affecting future extensions of the model is that sampling is currently slow.

Another category of estimates employs an explicit sampling model that assumes random independent sampling of genes from a common pool into individual genomes [ 41, 42].

In the case of MSs and RTs with similar reliability, preference was given to the model that included more samples in its groups/terminal nodes.

The presented model differs from previously proposed models in the sense that it is a dynamical model that needs serial samples of both HbA1c and MPG to provide successful predictions of HbA1c at steady state.

Hickerson et al. [ 16] suggested the problem was caused by sampling error, and proposed as a solution an approximate-Bayesian model averaging approach that samples over empirically informed uniform priors.

The same 10 × 10 two-level nested cross-validation analysis suggested that the expression of the top 100 genes could be used in a model that could differentiate FFPE samples from FF samples with overall accuracy of 100%.

Selection term Term constructed from the selection   model that controls for sample selection   bias.

Other groups focused on tissue specific differences between cancer sites by building supervised models that classify samples according to their tissue of origin [ 10, 11] or by comparing cancer from multiple tissues with normal tissue [ 12].