Sentence examples for modeling set we from inspiring English sources
Because the size of the RTECS library is much larger than that of our original modeling set, we drew from our experience in using QSAR models for virtual screening (Oloff et al. 2005) and narrowed the model applicability domain.
In total, among five splits of the modeling set, we generated > 7,000 individual kNN models.
As a model set, we selected the E. coli ribosomal proteins and associated factors for computational analysis.
For 465 (31%) of the Myc-BestModels in the original best gene model set, we did not detect any inconsistencies and therefore have independently confirmed the previously published BestModelv1 annotation.
To improve the experimental utility of the gene model set, we developed algorithms that use the RNA-seq data to extend the boundaries of the current gene model set where appropriate, identify those intron-exon boundaries that can be validated by the transcriptomic data, and generate novel intron-exon boundaries to bridge those regions of the gene models that are not supported by RNA-seq data.
To assess the overall composition of the B. tryoni gene model set, we compared it to gene model sets from two other Dipterans: C. capitata and D. melanogaster.
Using the best model set, we predicted the whole dataset using 10-fold cross validation and evaluated the performance on every primary tumor site by precision, recall, and F-measure.
(H5) We predicted that brown bear selection of CWD would be substantially influenced by the availability of carpenter ants (galleries); in the parsimonious model for the bear sign candidate model set, we predicted that the variable representing gallery availability would be relatively important and informative.
Using supported variables in these model sets, we created a new final model set (35 models) in which 8 models contributed to 95% of the top Akaike weights.
Considering the difference in predictive power among these model sets, we recommend a tiered approach to variable selection and model development depending upon management goals.
Using epithelial ovarian cancer as model setting, we show here that ex vivo NKG2D+ cancer cells have stem-like capacities, and provide formal in vivo evidence linking NKG2D stimulation with the development and maintenance of these functional states.
