Saatchi et al. [ 11] showed that conservative accuracies of DGV that are less affected by relationships can be obtained by minimizing the genetic relationships between training and validation sets using K-means clustering.
Evidence for historical, demographic and selective factors affecting enzyme evolution can be obtained by examining nucleotide sequence variation in candidate genes such as Lactate dehydrogenase (Ldh).
Additionally, the intracellular concentration of corticosteroid that directly/indirectly affects gene expression can be obtained by the previously developed differential equations and TF information for rat genes can also be utilized.
A more accurate understanding of the sites affected by positive selection can be obtained by combining the results from all of the present analyses.
Then, the FWHM broadening values of the Stark broadening that may affect the Hβ line can be obtained.
Further insight on the parameters affecting the BER performance can be obtained by focusing on the asymptotic case of large SNR.
Therefore, using the second derivative, stable Raman chemical images not affected by the background spectrum can be obtained, and discrimination between the object and the background was enhanced.
The reductions in the accuracy of MEBV and of σ G 2 during selection were also measured because on the one hand they are affected by past selection and on the other hand they affect the genetic progress that can be obtained with future selection (i.e. ΔG = i · ρ · σG).
Low viscosity solutions can be obtained, affecting the experiments at 338 K.
Finally, the carbohydrate delivery strategies used (periodic versus batch addition and the time interval between periodic addition) greatly affect the degree of dehalogenation that can be obtained with a given amount of added carbohydrate.
