Mar 21, 2015 · We have constructed a statistical prediction model, Sigma-RF, to predict the variability of the spatial restraint, 〈Δ d〉, by using the random forest (RF) ...
To predict the variability of the spatial restraints in template-based modeling, we have devised a prediction model, Sigma-RF, by using the random forest (RF) ...
In template-based modeling when using a single template, inter-atomic distances of an unknown protein structure are assumed to be distributed by Gaussian ...
Sigma-RF: prediction of the variability of spatial restraints in template-based modeling by random forest ... Authors: Juyong Lee; Kiho Lee; InSuk Joung ...
In template-based modeling when using a single template, inter-atomic distances of an unknown protein structure are assumed to be distributed by Gaussian ...
Sigma-RF: prediction of the variability of spatial restraints in template-based modeling by random forest. Juyong Lee, Kiho Lee, InSuk Joung, Keehyoung Joo, ...
The benchmark results on 22 CASP9 targets show that the variability values from Sigma-RF are of higher correlations with the true distance deviation than those ...
Sigma-RF: prediction of the variability of spatial restraints in template-based modeling by random forest. Item · http://www.wikidata.org/entity/Q30373871.
Jun 10, 2024 · Sigma-RF: prediction of the variability of spatial restraints in template-based modeling by random forest. BMC Bioinform. 16: 94:1-94:12 ...
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(2015) Sigma-RF: prediction of the variability of spatial restraints in template-based modeling by random forest, BMC Bioinformatics, 16 (1), 94. Lee ...