Combining the predictive strength of multiple gene signatures improves prediction of breast cancer survival.
Our study showed that by aggregating the predictive strength from multiple gene sets we can improve the outcome prediction in breast cancer, and it can be broadly applicable to breast cancer survival risk assessment.
To assess the predictive strength of our models, we perform a stratified threefold cross validation.
The predictive strength of each feature for creating a reproducible outcome was also investigated.
The number C can be chosen automatically by a cluster validation method such as predictive strength (Tibshirani and Walther 2005), or manually for easier interpretation.
To investigate the predictive strength of the collected complexity features, we first evaluate whether they are correlated to the signature effectiveness.
Because prior information is taken into account, the uncertainty regarding the standard deviation of the predictive strength distribution is significantly reduced.
Multivariate analyses evaluated the predictive strength of reforestation pathway, management history, and site characteristics relative to aboveground carbon pools and stand structural complexity.
In this study, we examined whether the predictive strength of health beliefs varied as a function of vaccine cost among adult women.
Terrain attributes also showed little to no correlation, or predictive strength for describing the variability of 2,4-D and atrazine sorption in the soil-landscapes.
When Papachristos combines this social contagion model with the traditional demographic approach, the predictive strength of this method rises above 70percentt; in other words, seven out of ten of the individuals who were later subjects of gun violence could be identified before the actual gun violence event took place.
