"They have very sophisticated interpretations that are based on statistical, genetic, and historical reasoning," Panofsky said.
First, we inferred gene functions based on statistical genetic interactions, predicted protein complexes and clustered processes by similarity.
This approach is based on statistical models in which genetic and environmental factors are sometimes measured indirectly (i.e., latent variable modeling often in twin studies) and sometimes directly via molecular methods (examples of both kinds of interactions are provided below).
Our own results, based on statistical analyses and simulation of genetic evolution on a large dataset of LP frequencies, are thus complementary to those obtained from molecular analyses done at high resolution on this gene [6].
Notwithstanding the approach used, the greatest challenge in the genetics of complex traits remains the identification of the gene(s) and the molecular variant(s) accounting for a genetic inference based on statistical testing.
Haplotype diversity was estimated for each gene and population, however, genealogies from haplotypic genetic data based on statistical parsimony approaches were not estimated because of there were no shared haplotypes for three of the four genes [ 46].
The proposed genetic algorithm is based on statistical prediction model KCCA (Kenel Canonical Correlation Analysis) to identify the expect task execution time [16],[16].
This work presents an integrated modeling and optimization approach to sorbent synthesis based on statistical experimental design and two artificial intelligence techniques: neural network and genetic algorithm.
In this study, we used functional genomics data to validate genetic interaction network that was constructed purely based on statistical analysis.
Numerical results of characterization, based on statistical experiment design, as well as validation, based on the comparison with a genetic optimization algorithm, are presented.
In contrast, in generation of genetic regulatory network models, network structures are usually unknown, too, and their generation may be based on statistical rules.
