Sentence examples for model greater than from inspiring English sources

In the subacute inflammation model, greater than 50% of the increased proteins play a known role in inflammation, including positive acute phase proteins [31], as well as the chemokines Ccl8 and Pf4 (also known as Cxcl4) (Table S1).

Posttraumatic growth made the strongest contribution to the model, greater than posttraumatic stress symptoms or depressive symptoms.

Finally, product parameters and their interactions with a contribution to the model greater than 5%% were kept in the final model.

In addition, all models obtained by genetic algorithms were consistent with a successful classification higher than 90%, restricting the 30 variables to at least one model greater than 95%.

The probability is computed by using a maximum-order homogeneous Markov chain model [ 49] where the transition probabilities are determined using the Maximum Likelihood Method [ 50]. (Note that under this model, the (G+C)% biasing is achieved for any order of Markov model greater than or equal to zero, since the frequencies of individual nucleotides are taken into consideration for all orders).

We did not take higher-degree models greater than third degree as those models fluctuates a lot and do not give proper fit.

The bricks are modeled greater than usual and between them is used from members and contact components, and in fact mortar was removed from the model and its effects will be considered in members and contact components.

In general, exhaustively searching genomic space for knockout candidates is computationally intractable even on small-scale metabolic models (less than 100 reactions), much less on current genome-scale metabolic models (greater than 1000 reactions) due to prohibitive computation time.

In terms of global correlation, the three methods perform equally well on easy targets (mean GDT_TS of top 5 models greater than 50) but QMEAN performs worse on the harder ones (see Supplementary Tables S6 and S7).

Our algorithm FungalRV adhesin predictor uses highly accurate SVM models (greater than 99%) and therefore it achieves a good MCC of 0.8702 at a positive threshold of 0.511 in comparison to FAAPred [ 59], which uses SVM models of lower accuracy (86%) and achieves a MCC of 0.610 at a relatively high negative threshold of -0.8.

In addition, both members' profitability under coordinated model is greater than decentralized model which implies that the coordination model is applicable from both members' perspective.