Sentence examples for mixture model describing from inspiring English sources

They use a mixture model describing across-site heterogeneities in the amino acid replacement patterns.

Table 2 summarizes the assignment of observations within conditions (mouse embryo studies or series and treatments) to each of the two components (Mix1 and Mix2) of a mixture model describing the gene Actin sub-network.

Gage developed a parametric mixtures of logistic regressions (PMLR) technique to estimate mortality risk as a function of birthweight within each of two components in a normal mixture model describing a birthweight distribution [ 7].

Additionally, for amino acid alignments, we applied two programs: PhyloBayes [ 60], Bayesian approach and PhyML-CAT [ 61], maximum likelihood approach that use a mixture model describing across-site heterogeneities in the amino acid replacement patterns.

The assignment of the samples to the components of the mixture model describing gene sub-networks helped in the understanding of the changes in the network across the different treatments or conditions studied.

The present paper, the second in a two-part series, develops a new and flexible approach to modeling fetal-infant mortality through the estimation of separate birthweight-specific mortality curves within each component of a normal mixture model describing a birthweight distribution, the number of components having been determined from the data rather than fixed a priori.

The mixture model describes each mutant using the resulting proportions of each wild-type state (Figure 7C), and genes that could not be accounted for in the model were revealed (Table 4) [36].

A mixture model describes a population of observations assuming that the constituent sub-populations have distinct statistical properties.

Since the Skellam mixture model described above takes advantage of read counts information across all genes, including those with small number of SNPs (<10), it is expected to have better ability to detect AEI.

In contrast to approaches using transgene expression [ 38], the mixture model described here can evaluate tissue sample purity without focusing on a handful of tissue-specific genes, marker genes, or transgenes.

Extrapolation of these data using the binomial mixture model described by Snipen et al. [ 48] yields an estimated core genome of 1,600 orthologous clusters and a pan-genome of 9,072 total orthologous clusters.