Sentence examples for methods we represented from inspiring English sources
As described in Methods, we represented reaction content of the models by EC numbers.
However, unlike these other phylogenomic methods, we represent the evolution in terms of discrete gain and loss events.
In a second method, we represent the interface with a Fourier representation.
In the method, we represent the various particle shapes using level sets.
The technical approach is explained here briefly (further details can be found in Methods and Appendix S1): 1) we represented the evolution of data by plotting xi (the data at the ith time-point) on the x-axis, versus xi+1 (data at the i+1th time-point) on the y-axis.
To deduce context and be able to use supervised machine learning methods to predict click-words, we represented each word instance by a set of features, determined by both our own studies and prior observations in the literature.
The method we propose represents a first insight into the numerical solution of more complicated problems and consists of a discretization of the differential and integral terms and of an iteration process to solve the resulting non-linear system.
We did not measure, and our study does not present, specific quantitative data regarding these factors because we feel the method we employed represents routine anesthesiology practice, in which the overall impression is used more than specific numeric measurements of elements of the airway exam.
Using stringent criteria (see Materials and Methods) we identified 186 contigs representing sequences expressed in salivary glands.
For the automated method, we created computer represented schematics in EPANET of each town's entire water distribution system using Geographic Information System GISS) maps of land parcels provided by town assessors and digitized paper maps of water distribution systems provided by the town water departments.
However, it is important to recognize that all of the feature-selection methods that we examined represented univariate filtering approaches that rank features individually and independent of the classification method.
