Date of Award
12-2009
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics and Statistics
First Advisor
Dr. Yu‐Sheng Hsu - Chair
Second Advisor
Dr. Julia Hilliard
Third Advisor
Dr. Jiawei Liu
Abstract
Fourier Transform Infrared (FTIR) has been use to discriminate different pathogens by signals from cells infected with these versus normal cells as references. To do the statistical analysis, Partial Least Square Regression (PLSR) was utilized to distinguish any two kinds of virus‐infected cells and normal cells. Validation using Bootstrap method and Cross‐validations were employed to calculate the shrinkages of Area Under the ROC Curve (AUC) and specificities corresponding to 80%, 90%, and 95% sensitivities. The result shows that our procedure can significantly discriminate these pathogens when we compare infected cells with the normal cells. On the height of this success, PLSR was applied again to simultaneously compare two kinds of virus‐infected cells and the normal cells. The shrinkage of Volume Under the Surface (VUS) was calculated to do the evaluation of model diagnostic performance. The high value of VUS demonstrates that our method can effectively differentiate virus‐infected cells and normal cells.
DOI
https://doi.org/10.57709/1234637
Recommended Citation
Wang, Dongmei, "Some Contributions in Statistical Discrimination of Different Pathogens Using Observations through FTIR." Thesis, Georgia State University, 2009.
doi: https://doi.org/10.57709/1234637