Sentence examples for model with distinguished from inspiring English sources

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However, emerging evidence shows that gene expression-based prediction varies between independent data sets and little is known about the accuracy of gene expression-based prediction model with distinguished pathologic and clinical predictors [ 7, 8].

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In addition, we characterized the Alu distribution with a mixture model that distinguished the genes with no Alu elements from those containing Alus.

The model development was guided by our previous results obtained with a model that distinguished three fixed compartments between which the surface receptors were considered as partitioned [5].

In addition, we characterized the genome-wide intron Alu distribution with a mixture model that distinguished genes containing Alu elements from those with no Alus, and evaluated the gene-level effect of the 5'-TTAAAA motif associated with Alu insertion sites using a two-step regression analysis method.

Due to the substantial existence (N = 5578) of multi-exon genes of such kind in human genome, we characterized the distribution of the intron Alu density with a mixture model that distinguished genes without Alu elements from those containing Alus.

So, PEU = EU has strong support (MAX model) over the model with all distinguishing chromatin types ΔBIC = 3.77, and ΔBIC = 1.52 for distinguishing models with all distinct from (PEU = EU, IHc = IHd), which is moderate support that euchromatin and intercalary heterochromatin types can be considered the same for retroelements.

The experimental data were reduced with Hino's lattice model that distinguished the interactions due to London dispersion forces and those due to hydrogen bonding.

The median growth curves estimated with the von Bertalanffy model clearly distinguished the type at the age of two years old (Figure 2 for Buech and Manosque, Appendix S2 for all type, site and cohorts).

This model reliably distinguished PAH from controls with a sensitivity and specificity of 100%.

Post-processing was performed in Opus6.5 (Buker Optics Ettlingen, KA, Germany) and consisted of analysis with modeling, which distinguished spectral components of the adhesive and dentine.

This model correctly distinguished MI from control samples in the derivation dataset with an AUC = 0.86 (P < 0.0001 vs. random model, Figure  5).

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