Sentence examples for these methodologies include from inspiring English sources
These methodologies include analytical derivation and approximation techniques, Monte Carlo error analysis, and error analysis in metabolic inverse problems.
These methodologies include zinc fingers nucleases (ZFN), transcription activator-like effector nuclease (TALEN), and clustered regularly interspaced short palindromic repeats (CRISPR).
The major weaknesses of these methodologies include low yields and labor intense procedures.
These methodologies include the evaluation of risk associated with inherited genetic variation or genome-wide association studies (GWAS).
These methodologies include network distance calculations [ 61], the two-step floating catchment technique [ 62- 64], and modified GWR models [ 65].
The most prominent of these methodologies include representational difference analysis (RDA) and sequence independent single primer amplification (SISPA) with several variations.
These methodologies included those based on the average substrate concentration, those based on the instantaneous substrate concentration, as well as those based on Lagrangian particle tracking.
The author outlines and extensively discusses the key steps in these methodologies, including formulation of the target research question, the setting-up and performing of experiments (which characteristically involve constructing robots as models of extinct organisms), interpretation of experimental results, and evaluation of the initial hypothesis in light of the experimental outcomes.
All these methodologies including learning-based background subtraction techniques [13], [14] have been considered in our study, but they cannot be applied to process several hundred 2D and 3D image sequences.
These methodologies, including data collection, outcome measurement, and data analysis, will be described in further detail.
There are several possible explanations for the disparity between these methodologies, including; fluorescence saturation and specificity.
