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Running cMonkey with this refined BSCM improves the conditional co-regulation of genes assigned to each bicluster.
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Correspondingly, weights calculated by this method can better measure the interdependence between nodes and can improve the conditional independence assumption.
We analyze the problem in the existing weighted BN, then apply an improved GRA to the weight calculation to improve the conditional independence hypothesis.
To quantify whether predictors identified as important in above multiple-predictor models improved the conditional R2 of MWD based models (see Fig. 4 for details), we directly added MinT to the models predicting LAI and FCover from MWD and we added Ele_Min and Slope to the MWD based model predicting fAPAR.
The phenotype obtained with CR7T-y1y2-gRNA was indistinguishable from that of y mutant flies, suggesting that targeting a gene with multiple gRNAs improves the efficiency of the conditional mutagenesis.
Experimental results with hearing aid scenarios demonstrate that the proposed SDW-MWF incorporating the conditional SPP improves the signal-to-noise ratio compared to a traditional SDW-MWF.
In the proposed model, to decrease the computation and improve the accuracy, the conditional generalized minimum variance is used to select the key features.
In accordance with this purpose, the oil prices will be modeled by improving both the conditional mean and the conditional variance with nonlinear time series and neural network models to achieve possible gains in forecasting and modeling capabilities.
In addition, according to Slepian-Wolf theorem [12], the theoretical limit of lossless compression of vector l is improved to the conditional entropy H (l|v), with the help of side information v, where l and v are correlated with Pr( li ≠ vi ) < 0.5.
A modified rank correlation test which is based on the simulated distribution of the estimated measure of association, preferably Spearman's rho, conditional on sampling variances, improves the error rates.
In 2006, Xie, Geng and Zhao proposed using a d-separation tree to improve the power of conditional independence tests and the efficiency of structural learning.
Write better and faster with AI suggestions while staying true to your unique style.
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