Sentence examples for implement several methods from inspiring English sources

Our Web Services implement several methods.

We have shown that it is straightforward to implement several methods to search for gene gene interactions in a moderately large data set, but the question of which method is superior can only be answered when real gene gene interactions are identified in human disease.

This program implements several methods for the identification of recombinant sequences and recombination breakpoints.

Some hospitals had implemented several methods for surveillance.

Isodyn implements several methods for ODE solving provided for C++ by Press et al [ 30], including fourth-order Runge-Kutta, Bulirsch-Stoer and Rosenbrock method for stiff systems.

We have described a package implementing several methods for estimating the reproduction number from epidemic curves, along with diagnostic tools and provided a comparison of the accuracy of these methods.

All the simulations and the thresholds estimation were performed with the bnlearn package [34,35] for R [36], which implements several methods for structure learning, parameter estimation and inference on BNs (including the approach proposed in Section  2).

PIC has implemented several methods for routine genomic evaluation, including a two-step approach using BayesA/BayesB (Meuwissen et al. 2001) and the single-step evaluation described by Misztal et al. (2009), which, based on extensive internal testing, PIC considers current best practice for predicting gEBV in a practical setting.

This work presents Constraint-based Flux Analysis (CBFA), an open-source software application for flux analysis in metabolic models that implements several methods for phenotype prediction, allowing users to define constraints associated with measured fluxes and/or flux ratios, together with environmental conditions (e.g. media) and reaction/gene knockouts.

The objective of this study was to implement several reconstruction methods designed for single-photon emission computed tomography (SPECT) using 123I and to evaluate their performance in terms of quantitative accuracy, image artifacts, and noise.

Students will explore and implement several learning methods, including logistic regression, Bayesian classification, decision trees, and feed-forward neural networks, and will incorporate strategies for addressing the issues impacting performance (e.g., regularization, clustering, and dimensionality reduction).