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More accurate genomic predictions are expected when the effects of QTL (quantitative trait loci) are predicted from markers in close physical proximity to the QTL.
The predictions are expected to show a marked deterioration since December.
Specifically, those points having maximum dependence with their predictions are expected to be included for labeling.
Improvements in flood predictions are expected as the quality of radar, multisensor and satellite observations improves.
Tests of these predictions are expected to further understanding of how neuronal activity is coupled to maintenance of synaptic strength.
As hidden markov model (HMM) gene predictions are expected to be sensitive primarily to local perturbations, these results lend confidence to the synthetic association study method.
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The fact that the 2-hr spread resulted in virtually identical concentration predictions is expected from a modeling perspective, and possibly in reality.
The advantage of AMGP over a sire model based on two-step genomic predictions is expected to increase as the number of genotyped cows increases and for species, with smaller sire families and more dam relationships.
However, significant departures from the linear prediction are expected for larger input amplitudes in the presence of strong nonlinearities, in particular when they are close to the voltage threshold for spike generation.
The discrepancies between simulations and mean field approximation are significant close to the bifurcation values, where fluctuations around the mean-field prediction are expected to be greater.
While to date most genetic risk models show only modest predictive performance [ 1- 7], improved prediction is expected when many new genetic risk factors are discovered in the coming years, both common and rare variants with intermediate to large effects on disease risk.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com