Sentence examples for using the gene predictor from inspiring English sources

Of these, the Compound Covariate Predictor gave the best predictive capabilities using the gene predictor set and consequently used.

A clustering dendrogram was generated by using the genes used to build the SVM class predictor, by using euclidean distance and average linkage metrics.

In this blinded validation, using the equation derived above, the gene predictor set accurately predicted the diagnosis of PC with 73% accuracy, giving a sensitivity of 83% and a specificity of 64%.

Intrinsic subtyping was assigned using the 50-gene predictor for luminal A and luminal B subtypes together with the gene expression data [ 22].

We reasoned that if our proposed MFH reclassification using the 170-gene predictor is valid, it should reflect the overall molecular similarity between reclassified MFH and their corresponding subtypes, above and beyond the prediction by the 170-gene predictor.

In [ 19], the authors reported 83.33% LOOCV accuracy and 89.47% accuracy in the test set using the 70-gene predictor.

Prospectively banked FFPE tissue from this trial will be retrospectively analysed using the nine-gene predictor to confirm its prognostic significance relative to MGMT status in a uniformly treated patient population.

Many of the gene structures from other species of nematodes have been based on the structure of their C. elegans ortholog, either directly by referring to the C. elegans gene while manually refining the structure of the gene or indirectly by training gene predictor programs on the C. elegans gene structures and then using these gene predictors to predict genes in other nematode species.

In [ 23], the authors applied probabilistic neural networks (PNNs) to the class prediction of ALL-AML, and achieved 100% prediction accuracy in the test set using the 50-gene predictors derived from cross-validation tests of the training set by means of the signal-to-noise statistic feature selection method.

We used the 170-gene predictor in study cohort 3, to reclassify 76 MFH and 10 NOS samples.

We have also been able to validate the gene predictors with high accuracy using an independent dataset generated on cDNA arrays.