Sentence examples for modeling of diverse from inspiring English sources
The objective of the study is to develop an HT methodology to enable kinetic modeling of diverse catalysts.
Recent structural information along with new homology modeling of diverse P-type ATPases in complex with known ligands demonstrate that the most proficient way for the development of efficient and selective drugs is to target their ion transport pathway.
We have added discussion of this point in the subsection "Multidimensional chemical mapping allows rapid modeling of diverse non-coding RNAs, including blind prediction challenges", as quoted in our response to an earlier point.
Subsection "Multidimensional chemical mapping allows rapid modeling of diverse non-coding RNAs, including blind prediction challenges": "The lack of correlation between the fraction of satisfied MOHCA-seq pairwise constraints and the accuracy of the models (Table 2) as has been observed in prior macromolecule modeling based on pairwise information.
Researchers constructed connectionist models of diverse phenomena: object recognition, speech perception, sentence comprehension, cognitive development, and so on.
These findings demonstrate the usefulness and the potential of such body-wide datasets encompassing mouse models of diverse disease types as a resource in biological and medical sciences.
In the present study, models of diverse nature have been developed through decision tree (DT), random forest (RF), support vector machine (SVM), and moving average analysis (MAA) using molecular descriptors (MDs) as independent variables for the prediction of the anti-HIV activity of purine nucleoside analogs in human peripheral blood mononuclear (PBM) cells.
Conclusions: Population PBPK modeling of genetically diverse mouse strains can provide useful quantitative estimates of toxicokinetic population variability.
In addition, the majority of models consist of diverse variables, including laboratory profiles and BMI, which require additional blood assays or mathematical calculations (6– 10).
In spite of presence of large number of compounds in the training and test sets (3:1 in size ratio), we did not omit any compounds showing outlier behavior to artificially show enhanced values of validation metrics thus ensuring the predictive quality of the models for diverse types of compounds.
Identifying ecological patterns across broad spatial and temporal extents requires novel approaches and methods for acquiring, integrating and modeling massive quantities of diverse data.
