Sentence examples for based on different prediction from inspiring English sources
Then for different VS methods we obtain different predicted ranking lists based on different prediction models.
In addition, we gathered computationally predicted human miRNA-mRNA interactions using 5 methods based on different prediction approaches, namely miRanda (Aug 2010) [ 6], miRGen (v2.0) [ 68], PicTar (Hg18) [ 69], PITA (v6) [ 70] and TargetScan (6.0) [ 71].
Two cross-validation schemes, CV1 and CV2, were considered in the study based on different prediction purposes relevant to practical breeding problems (Calus and Veerkamp 2011; Burgueño et al. 2012).
The scientists analysed the frequency and intensity of atmospheric rivers using five different computer simulations of future climate scenarios, each based on different predictions of future carbon dioxide emissions.
This allows sufficient time for the effects of climate change to be detectable, whilst minimising the overall timeframe to reduce uncertainties [ 55, 56] There are many different future climate scenarios based on different predictions of socio-economic factors, we have chosen the A2 scenario representing the mid-range of climate change severity [ 56].
Fig. 8 Trajectory 1. Estimation of event positions based on different coverage prediction methods: Coverage prediction (top left), coverage prediction including height and building model (top right) and Voronoi tessellation (bottom left).
The yellow points are the actual event positions which have been recorded using a handset Fig. 9 Trajectory 4. Estimation of event positions based on different coverage prediction methods: Coverage prediction (top left), coverage prediction including height and building model (top right) and Voronoi tessellation (bottom left).
When used together as a host tropism prediction system, zoonotic strains could potentially be identified based on different protein prediction results.
However, if uptake rate constants were estimated based on different model predictions, none of them yielded sufficient results and consequently no dependency of estimated k 1 and experimental BCF was found.
Two models are developed based on different time series prediction concepts and the results are compared.
Notably, the fraction of the auxin up-regulated genes among those with predicted AuxREP&S (10.7%) was higher than the respective fractions for AuxRESGA (10.3%) and AuxREPWM (9.8%), which substantiates that usage of two models based on different principles improves prediction (Table 1).
