Exact(13)
In other words, if the missing signs have specific pattern, the prediction of missing values would performed.
To evaluate the performance of prediction of missing links, the known data are randomly divided into two parts, the training set and the probe set.
Some efforts have also been dedicated to improve the prediction of missing data, based on correctly received ones (see, e.g., [14, 22] for details).
In this experiment, we demonstrate the performance of GGA-method in prediction of missing PPI and identification of spurious PPI in the noisy network.
First, we calculated the arithmetic average over the raw output of four disorder prediction methods: DISOPRED2 (Support Vector Machine based prediction of missing coordinates in X-ray structures), IUPred (prediction of unstructured regions based on pairwise statistical potential), NORSnet (prediction of unstructured loops) and Ucon (specific contact based prediction method).
The imputation literature recommends including not only pre-exposure patient characteristics and treatment information in the prediction of missing values but also information on the outcome status [ 12].
Similar(47)
Second, we want to compare the performance in predictions of missing PPI using our method with that of MDS-method.
Multiple imputation uses multiple predictions of missing clinical endpoints based on patient characteristics and the baseline value of the clinical outcome variables [ 16].
When there is an interest in specific functions for specific gene products, predictions that are discovered at a later time to be true-positive predictions or false-negative predictions because of missing data may be problematic.
From the original set of 443 patients, three patients were removed from the prognostic prediction analysis because of missing data for survival time (NCI_lung216_U133A) or stage Moff-0683HH Moff-0928E928E).
Glyoxal concentrations in the Mexico City atmosphere are found significantly below model predictions, suggesting existence of missing sinks (14).
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