a Accuracy of prediction and computing.
To compare prediction accuracies and computing efficiencies of emBayesR, BayesR, GBLUP and fastBayesB, 5000 individuals were randomly separated into reference sets and validation sets.
This method, which was used by the DREAM5 organizers to rank the teams, involves randomly drawing edges from the teams' prediction lists and computing the probabilities of obtaining an equal or larger AUPR (resp. AUROC) by chance.
This imprecision is supposed to be contributing mostly to the inconsistencies between observations and computed predictions.
We averaged hourly SO2 predictions over the day and computed daily peaks for each six-character postal code.
To do this, we took the number and size of SP predictions made by EXPANDS and computed the Shannon index for each sample.
We divided the full dataset into one training set (104 strains) and one validation set (10 strains), ran GFlasso on the training set for different values of λ and γ, and computed prediction error on the validation set.
We show that it is necessary to consider suboptimal structure predictions and to compute the structural branchpoint distances in order to explain previously published splicing efficiency results.
DB and LB collected the spectra and computed the NIRS predictions.
On the calibration plot the histogram of the predicted values is also represented, showing how they are distributed between 0 and 1. Joint model and predictions were computed using the R functions frailtyPenal and prediction from the R package frailtypack [ 14].
