Sentence examples similar to increased accuracy when compared with using from inspiring English sources

The results of the accuracy achieved by FBA in these scenarios are reported in Table 1. Figure 3: Gene essentiality in ccRCC metabolism as predicted by flux balance analysis using the profile of exchange fluxes from seven ccRCC cell lines in addition to the ccRCC network topology shows increased accuracy when compared with the RNAi screen.

These results represent a significant increase in accuracy when compared with the earlier reports.

Using the network to generate prior probabilities for classification improves the accuracy when compared with generating prior probabilities based on class prevalence.

The authors found that PET/CT using NaF had the highest possible sensitivity and negative predictive value (100% and 900% overall accuracy, when compared with FDG and bone scintigraphy.

Pu et al. (2011) used IKONOS imagery of April 2006 to examine the GEOBIA technique, which significantly improved the classification accuracy when compared with the pixel-based method.

Previous seroneutralization-based serotype identification demonstrated 55.4% accuracy when compared with molecular VP1 analysis.

This increases accuracy when comparing different experiments especially when the set is very sparse.

Despite the use of simple and classical parameters, this method yielded better results than any of the reported accuracies when compared with earlier results [3 5].

To achieve reasonable accuracy in adult worms, which have an order-of-magnitude more cells in total, we propose an approach that incorporates additional features into a cost function that, when used to solve the annotation task, increases accuracy compared with using location alone.

With the best performing test, this classification has two advantages: increased precision and accuracy compared to a binary diagnosis of significant fibrosis; and similar or higher accuracy when compared to histological staging performed in clinical practice conditions.

The change in accuracy when comparing classification using signature expansion with classification with single-date signatures depended on the land cover class (Figure 4).