Sentence examples for predictions characterized by from inspiring English sources
HuMiTar, which is a prediction method designed based on human miR targets, is shown to provide predictions characterized by favorable sensitivity, which comes at a price of an increased number of predictions.
In the assessment of the proposed mutations, based on the criteria described in the Materials and Methods section, we expected the mutation predictions characterized by confidence levels (V1)—(V4) to be viable, while mutations with confidence levels (N5)—(N7) to be deleterious.
ROC analysis shows that HuMiTar provides predictions of quality that is comparable with the quality of PicTar, while our predictions are characterized by high true positive rates and moderate values of false positive rates.
More accurate docking predictions are characterized by lower RMSD values as well as higher fractions of specific and non-specific contacts compared to those less accurate.
One important feature of this ANN is that the class predictions are characterized by a membership strength, and below a predefined threshold of the membership strength, the data sample is labeled 'unclassified.' In addition, we can record the membership strengths that each output node predicts on the 0 to 1 scale, which can be used for assessing the confidence in the class predictions.
As noted above, the predictions are characterized by high accuracy and low recall.
However, all available software for target prediction is characterized by a large fraction of false positive; thus, the integration of target predictions with miRNA and gene target expression profiles has been proposed to refine miRNA-mRNA interactions.
Instantaneous concentration prediction were characterized by oscillations much dependent on the dispersed solids particle size, being their amplitude lower in the case of finer particles.
The difference between experimental data and the prediction was characterized by normalized square deviations (χ=Σi((fei-fti /σei 2 fei-fti /σei 2s experimental mass isotopomer fraction, fti is the predicted one, σei is experimental standard deviation.
Predictability is characterized by nine conditions.
Moreover, the effort prediction component is characterized by the generation of the predictor (see Fig. 1).
