For example, the theoretically based method to define career patterns is less based on data, and to identify OCPs by including occupations only at a limited number of time points makes results depend strictly on those time points inspected (Pollock et al. 2002).
As the eigenvectors that are closer to the samples of continuous Hermite-Gaussian functions are important for a better definition of DFrFT, we employ bilinear transform-based methods to define better commuting matrices.
Additional applied immunoinformatics frameworks include the statistically powerful weighted gene co-expression network analysis (WGCNA), whereby novel biological modules and pathways may be discovered [ 61], as well as ontology-based methods to define novel biomarkers and infer biological functions [ 62].
Some related works have focused on anomaly detection in data with spatial relationships [5], while others propose methods to define outliers based on relational class attributes [6].
Alternatively, or in addition, one can use data-driven methods to define these groupings based only on statistical criterion; e.g., all possible allele frequencies, all possible subsets of rare variants, or a "step-up" approach we propose here.
This paper, based on the method to define Spatial Straightness with mathematics according to ASME Y 14.5.1M standard, studied the evaluation of composite positional errors systematically.
Often, probability based methods are applied to define reasonable probability distributions.
Using the interactive genetic algorithm, Mok et al. (2012) have presented a fashion sketch design system to accelerate the design process: (1) a design model based on design knowledge to describe the features of the fashion product using developed parameters; (2) a database based on suggesting a fashion design method to define the elements of a general style; and a multi-stage sketch design motor.
Changepoint detection provides a useful method to define methylated domains based on base-resolution methylome data.
The mathematical model uses mixed-integer programming (MIP), based on the Lagrangian relaxation (LR) method, to define critical parameters that control the adaptive hop-by-hop switching.
We developed an objective method to define clusters based on the intuitive concept that a gene cluster should interact more intensely in terms of Granger causality within itself than with neighboring clusters.
