Sentence examples for predictions to identify from inspiring English sources

Firstly, we performed feature selection by Mann-Whitney U test, then made predictions to identify potential ion channel targets by SVM and designed a new evaluating indicator Q to prioritize results.

A whole transcriptome RNA-seq library as well as an RNA-seq library enriched for primary 5′-ends were used for the detection of transcription start sites, to correct tRNA predictions, to identify novel transcripts like small RNAs and to improve the annotation through the correction of falsely annotated translation start sites.

We test whether phrase order deviates from random models and then use deviations from random predictions to identify specific syntactical rules for song construction.

In conclusion, our data demonstrate the feasibility of using antibody responses and MHC class II binding predictions to identify targets of CD4+ T cell responses in PI-WCV vaccinated mice.

We utilized ROC curves to directly compare the ability of both predictions to identify murine T cell epitopes (Figure 5), which clearly demonstrated superior performance for the murine TAP prediction.

In this study, we utilized bioinformatic predictions to identify candidate peptide epitopes in a set of C. burnetii antigens that were previously shown to be targets of immunodominant B cell responses.

Our method represents the first one that utilizes high-sensitivity TSS prediction to identify, with high accuracy, large portions of mammalian genomes as NTLs.

We thus used computational prediction to identify candidates for further testing.

We combined refined secretome annotation, phylogeny, selection and gene duplication analyses, and three-dimensional structure prediction to identify 78 ECs.

So we performed a genome-wide target prediction to identify more possible MRESS SNPs in 3′UTR of protein-coding mRNAs.

Is-rSNP combines phylogenetic information and transcription factor binding site prediction to identify variation in candidate cis-regulatory elements.