RESULTS The linear range was 5～15μg·mL-1,the calibration curve regress equation was Y=1.31×103X-4.85×102,with a correlation coefficient of 0.9997,the limit of detection was 7μg·mL-1(S/N=3),precision RSD was 0.9%,stability RSD was 0.6%.
The regression analysis has shown that equalized electronegativity is a good parameter which in combination with topological indices and an indicator parameter gave excellent model.
To establish a relationship between activity and structural descriptors of BABQ compounds, it is essential to develop a regression or an input-output model.
Because the number of molecular descriptors greatly exceeds the number of observations, conventional regression methodologies are not useful in such studies.
Hence, we developed QSAR models based on a large set of theoretical molecular descriptors using ridge regression methodology, which overcomes this limitation and also because the independent variables are highly intercorrelated.
Multiple linear regression analysis was performed to derive QSAR models, which were further evaluated for statistical significance and predictive power by internal and external validation.
A quadratic polynomial with cross terms is chosen to regress these samples by step-forward regression method and employed as a surrogate of numerical solver to drastically reduce the number of solvers call.
Fluorescent compounds are used as markers to diagnose oncological diseases, to study molecular processes typical for carcinogenesis, and to investigate metastasis formation and tumor regress under the influence of therapeutics.
The simulation results show that regress system model with large-dimension can be better constructed and the useful guidelines for initialization of the network parameter are also provided with recurrent wavelet network identification.
In only 2 cases did the deficit fail to regress completely and their postoperative CT scans revealed ischaemic lesions.
We conclude that disabling sequelae regress and finally subside over time.