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To assess the effect of the sample size for predicting, we analyzed prediction models generated using 437 Han Chinese samples (which included the original 214 samples) that were genotyped using the Illumina 550 K chip.
Several recent studies reported that the size of mural nodules was a more significant malignant factor than tumor size for predicting the malignancy of branch duct IPMNs.
This study demonstrates the utility of integrating LSP metrics, cluster density and cluster size for predicting species density across large and heterogeneous landscapes.
Pulse density influences the acquisition cost of LiDAR, and grid cell size influences AGC prediction using plot-based methods; however, little work has evaluated the effects of LiDAR pulse density and cell size for predicting and mapping AGC in fast-growing Eucalyptus forest plantations.
Opinions differ regarding the value of tumor size for predicting survival.
These measures are superior to tumor size for predicting tumor invasiveness.
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Optimal sample sizes for predicting the response are also derived.
The best grain sizes for predicting the foraging-habitat use of M. petax and M. gracilis were 50 and 150 m.
The response of the model changes with change in model size, and therefore, a converged model size (baseline) for predicting compressive strength is first established.
We also assessed the influence of the statistical method, heritability, marker number and training population size on prediction for predicting hybrid performance.
Neither the trick of knocking out one pathway to see how evolution can still achieve a given phenotype nor the target-size argument for predicting evolutionary pathways are especially new.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com