To construct a statistical model that possessed predictive capability, it was essential that absorption bands of the analyte and those of the matrix do not overlap: spectral overlapping gave rise to spectral interference, thereby rendering the results unusable for further statistical analysis.
The initial Toxcast program was performed primarily with a large number of in vitro models that possessed both attributes (Houck et al., 2009; Judson et al., 2010).
In this study, we developed a suite of binary voxel-based neutral models that possessed random, anisotropic, and hierarchical properties.
We also explain better that for studying the immune response in eggs, it is important to choose a model insect that possesses a serosa.
Furthermore we stress the importance of choosing a model organism that possesses a serosa if one wants to study the immune response in an egg.
Studies in mouse models that possess enteric ganglia throughout the length of the intestine (non-HSCR) have also found that certain genetic alterations affect neural crest lineage balance and interestingly many of these mutants also have functional gastrointestinal (GI) defects.
Recently, I have been working with Oded Schramm and Wendelin Werner investigating the limit of lattice models that possess certain conformal invariance properties in the continuum limit.
Crystallographic refinement of both structures yielded models that possess excellent stereochemistry and small root-mean-square deviations from ideal values for bond lengths and bond angles.
Covalent labeling results from surface mapping experiments are further used to eliminate models that possess buried Arg residues at positions that we know likely are not buried because they are modified even at the lowest concentration of PGO (Supplementary Table S-4).
What is needed to make rapid advances in this field is a model system that possesses the key characteristics of coral symbiosis, but allows more facile laboratory investigation (for a detailed review see [ 20]).
Santos et al. (2010) developed a RBF-GARCH model that possesses a modeling structure that assumes a RBF type neural network in the conditional mean, where the residuals follow a GARCH process.
