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Short HOST data significantly improved fertility prediction of routine semen analysis tests.

Application of the age-appropriate HRF models to fMRI data significantly improved the precision of the fMRI analysis.

Likelihood ratio tests showed that partitioning of the data significantly improved the fit to the evolutionary model.

Overall, we think that the applied measures to detect and exclude unreliable genotype data significantly improved the accuracy of the Nasonia linkage map and that our map reflects recombination frequencies in the Nasonia genome far better than previous attempts.

The OM data significantly improved the assembled scaffolds of the ostrich genome and facilitated chromosome evolution studies in birds.

Furthermore, the addition of the ChIP data significantly improved the enhancer model, as such predictions are more often associated with genes having known heart expression (Fig. 2B).

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The utilization of the plasma velocity or electric field data significantly improves the boundary normal analyses.

It is demonstrated that assimilation of surface velocity data significantly improves the surface and subsurface correlation of model currents with moored current observations.

All together these data significantly improve our knowledge concerning the basic cellular alterations involved in oncogene-driven neoplastic transformation.

All these methods have demonstrated that the integration of complementary biological data significantly improves accuracy of gene function annotation prediction.

We find that using HAc data significantly improves the performance of motif-based TF binding site prediction.

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