Sentence examples for pattern prediction with from inspiring English sources

Mean squared error of pattern prediction with Bayes method can be approximately limited in [10−8,10−5].

The implementation of a 250 m resolution LAI product, derived from MODIS 1 km data and using a scale consistent approach based on the Normalized Difference Vegetation Index (NDVI), is found to significantly improve accuracies of spatial pattern prediction, with the coefficient of efficiency (E) ranging from 0.77 0.94 compared to 0.01 0.85 when using 1 km LAI inputs alone.

And the accuracy of the expression pattern prediction with (-1000, 500) region is lower than that of (-3000, 0) region.

The transient mechanistic model is based on the conservation of mass and momentum and coupled with flow pattern prediction methods.

The presented methodology of gene network inference combined with spatial pattern prediction provides an additional layer of validation to elucidate the regulatory circuits controlling the spatial-temporal dynamics in embryonic development.

They show preliminary evidence that the socio-economic levels could follow a pattern, allowing for prediction with mobile phone data.

By quantifying the migration of more than 1800 individually marked fish, we showed that actual migration patterns followed predictions with a remarkable accuracy, suggesting that migration patterns have evolved in response to seasonally fluctuating trade-offs between predator avoidance and foraging gains.

The consistent pattern of sequence-dependent prediction with the assessment by experimental data indicates that sequence-dependent mechanism of nucleosome positioning may play important roles in both the transcription initiation and termination of pseudogenes.

The final model has a good ANOLEA score profile (indicating reliability of the structure prediction) with a pattern comparable to that of huAPOBEC2 dimer despite the low sequence identity (27%), Supplementary Fig. S1.

A few studies have explored changes of breathing pattern variability for weaning outcome prediction, with conflicting results.

Thus, all of the examined glycerol-induced sporulation markers either displayed the predicted regulation patterns (8/13) or deviated from the prediction with plausible explanations (5/13), suggesting that our global transcriptional profiling analysis yielded data that correlate with empirically derived data.