Sentence examples for predictions by applying from inspiring English sources

We compare sliding-window to clustering (i.e. CpGcluster) predictions by applying new ways to detect putative functionality of CpG islands.

Selecting the top new predictions by applying an enrichment threshold across 100 training sets reduces the effects of noise in the training data.

Another application is to guide data analysis and generate novel predictions by applying statistical algorithms that incorporate curated relationships into a computable framework using, e.g. reverse causal reasoning (RCR) (14).

For each subject, the GPC provided probabilistic predictions for each trajectory, which were converted to categorical predictions by applying a threshold according to the frequency of classes in the training set (i.e.,.5 if the classes are balanced).

Note that in reference [ 15], the authors also further corroborated some of their predictions by applying the OPI method to known orthologous genes of P. falciparum in S. cerevisiae and Homo sapiens (using yeast and Homo sapiens microarray gene expression data sets), and checking that these genes are predicted in the same GO terms as their P. falciparum orthologs.

Multiple times a day, new atmospheric data — obtained mostly from weather stations and satellites — is automatically fed into a model, which generates a prediction by applying equations from fluid dynamics, physics and chemistry to data like temperature, wind direction and humidity.

In recent years, clinicians have become increasingly enthusiastic about the possibility of improving prognosis and prediction by applying the new technologies of measuring many thousands of genes.

With these new miRDeep parameters, we validated the prediction by applying it to a set of newly discovered miRNA in maize seedlings.

To our knowledge, this is the first attempt to increase the accuracy of the affinity prediction by applying two rounds of string kernels and by identifying a small number of crucial k-mers.

In the present study, we investigated the possible improvements in the accuracy of genomic prediction by applying the one-step blending approach to Chinese Holsteins, for which the reference population consists primarily of cows.

Enhanced HF prediction by applying BMD on clinical risk groups is found in other studies[ 24, 28], although the more precise OR of our risk factor combination with BMD has not been determined before.