Sentence examples for predictions were composed from inspiring English sources

Most valuable panels of markers in concordance with previous predictions were composed of features with highest RR especially decreased elasticity which turned out to be the strongest marker of malignancy (Table 4).

The selected age-prediction model was composed of 20 CpG loci of the signature (see "Predicted age" column in Additional file 1: Table S2).

The complete data set (training and test) in the signaling response prediction challenge was composed of fluorescence measurements of phosphoproteins and cytokines in cells exposed to pairwise combinations of eight stimuli and eight signaling-network-protein inhibitors, for a total of 64 stimulus/inhibitor combinations (including zero concentrations).

The first set is called "the time update" or also "the prediction state"; it is composed of two equations.

Network architecture of the neural network determines its prediction efficacy and is composed of several structural parameters as shown in Fig. 1.

According to a prediction that MFIBs are composed of protein components, 7 fractions that were obtained from the sucrose gradient centrifugations were analyzed by SDS-PAGE (Fig. 2B).

According to secondary structure predictions, the G-patch is composed of two α-helices flanked by loops.

The prediction that Vac14 may be composed entirely of HEAT repeats suggested that Vac14 may bind proteins that regulate PI 3,5 P2 levels.

To verify if this was the case, we swapped the order of the first two batches for the size 10 networks, so that the first batch is composed of predictions made by the differential equation models and the second batch is composed of predictions made by the noise model learned from homozygous deletion data and not covered by the first batch.

Eventually, the receiver is able to decode the whole prediction level L 1 (and prediction level L 0, which is composed of f 3,0) alone).

The framework of PMF for energy-efficient collection is composed of prediction module for mining the change law of time domain, self-learning module for updating model, and driving module for controlling data filtering operation.