Sentence examples for integrated prediction of from inspiring English sources

Lalonde, E. et al. Tumour genomic and microenvironmental heterogeneity for integrated prediction of 5-year biochemical recurrence of prostate cancer: a retrospective cohort study.

Several studies have developed methods to incorporate functional information on codon and amino acid substitution to provide a more integrated prediction of selection (reviewed in [ 23]).

3) Integrating predictions of pathogen and HAB concentrations and toxicity with assessments of human health risks, economic impacts and management strategies.

SwissPalm also provides curated information and filters that increase the confidence in true positive hits, and integrates predictions of S-palmitoylated cysteine scores, orthologs and isoform multiple alignments.

Fig. 9 Prediction of SOMs and metabolites for AZD9291 and comparison of the integrated prediction performance of RD-Metabolizer and MetaPrint2D-React.

Functional annotation of ESTs that uses integrated prediction tools and proper curation of the results is not only necessary to complete the annotation process but to find actual biological processes.

These information sources enabled us to implement and evaluate an integrated prediction approach based on the concept of k-nearest neighbours learning (kNN).

We used this database to train and test an optimized binary classification system (named symphony), which integrates predictions from a variety of in silico methods and can predict the risk of ccRCC associated with VHL missense mutations with high sensitivity and specificity.

We next exploited this observation to derive an improved prediction method for MHC class II ligands by integrating prediction of MHC- peptide binding with prediction of surface exposure and protein secondary structure.

These developments are: extending the age range of the RVP, integrating the prediction of non-fatal events, regularly updating the baseline characteristics and the rate of predicted events with new information sources, taking into account compliance and treatment effect modifiers, e.g. a different relative risk in smokers.

In order to accurately identify and classify putative Pathogenicity Islands (PAIs) in the corynebacterial genomes, we developed a combined computational approach using several in-house scripts to integrate the prediction of diverse algorithms and databases, namely: Colombo-SIGIHMM [83], Artemis [82], tRNAscan-SE [80]; EMBOSS-geecee [84], ACT: the Artemis Comparison Tool [85], and mVIRdb [86].