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HLA-DRB1 Prediction of sample PaedA51 is consistent with the PCR-based results.
Different feature selection and classification methods have been used for the classification and prediction of sample grouping based upon microarray data.
Prediction of sample size in cluster randomised trials is difficult given the fact that not only the expected effect size has to be estimated, but also the anticipated cluster size and intra-cluster correlation coefficient[ 43].
Measurements of the three predictive phage proteins were combined in a logistic regression model that achieved 80% sensitivity and 100% specificity in prediction of sample status, whereas leave-one-out validation achieved 77.0% sensitivity and 82.8% specificity among 87 patient samples and 87 control samples.
Further prediction of sample status was done on publicly available data deposited at Gene Expression Omnibus under the accession numbers GSE21349 (UK) and GSE24080 (UAMS) and the Multiple Myeloma Research Consortium (MMRC) Reference Collection downloaded from the Multiple Myeloma Genomics Portal (http://www.broadinstitute.org/mmgp/home).org/mmgp/home
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The mean value obtained for C was employed to determine the fatigue resistance (Kf factor) allowing the life prediction of samples with different sized notches.
For prediction of samples not in the original test set (i.e., samples for which no activity data are available), RANSAC provides a statistical estimate for the probability of obtaining reliable predictions, i.e., predictions within a pre-defined number of standard deviations from the true values.
Again, within the accepted variation, changes of pH did not influence the prediction of samples from HCBD-treated rats as "intermediate".
The method was validated by the prediction of samples in an independent test set with 100% sensitivity and specificity for five out of six strain classes [ 55].
Similarly, PAM analysis using histopathological parameters was not able to make a good prediction of samples belonging to the highest quartile for disease activity (data not shown).
The efficient prediction of samples derived from patients whose cancer had not yet spread to lymph nodes shows that a blood-based gene-expression test can be developed for breast cancer detection in asymptomatic patients.
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