The first SVM based model that was developed using 881 PubChem fingerprints showed 65.09%, 62.33%, 63.89% sensitivity, specificity and accuracy with MCC value of 0.27 [Table 4].
STGs are a Petri net based model that has been extensively used in asynchronous circuit design.
EI-OSM is an evidence-based model that uses a simplified version of Toulmin's (1959) argument model.
The investigation allowed the derivation of a spreadsheet-based model that uses the best current published information and shows the rapid ROI of a copper intervention.
Thus, we can describe the rise of a transcript/protein to two functional levels and its subsequent degradation in a rule-based model that uses only a few discrete activity levels and is computationally efficient.
Recently, Hirose et al. (2010) developed a random forest-based model that uses the input sequence and the predicted secondary structure and solvent accessibility, and Bornot et al. (2011) used a sequence fragment matching-based approach to model the protein flexibility.
With 100 QTL underlying the trait, average accuracies achieved with the base model that used genomic relationship matrices based on different marker densities, with or without the simulated QTL, are in Figure 3 for the RANDOM scenario (A) and VAR scenario (B).
Electronic medical record (EMR) based models that can be used to predict risk on multiple disease conditions among a wide range of patient demographics early in the hospitalization are needed.
The Dynamic Continuous-Area Space-Time (DYCAST) system is a biologically based spatiotemporal model that uses public reports of dead birds to identify areas at high risk for West Nile virus (WNV) transmission to humans.
To date, Fishbrain's community of users has logged over 3.7 million catches worth of data, which are fed into the app's machine learning based model that recognises fish species using computer vision.
Global political risk firm the Eurasia Group stated before this week's events that it believed Lula was no longer a viable candidate for 2018, based on a model that uses approval ratings and other factors to predict electoral outcomes.
