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Full-Text Articles in Physical Sciences and Mathematics
Design And Synthesis Of Hyaluronan:Rhamm Interaction Inhibitors, Emily Rodrigues
Design And Synthesis Of Hyaluronan:Rhamm Interaction Inhibitors, Emily Rodrigues
Electronic Thesis and Dissertation Repository
A major component of the extracellular matrix is hyaluronan, a regulator of cell migration/survival and differentiation during response-to-injury processes. The receptor for hyaluronan-mediated motility (RHAMM) binds to HA and has limited constitutive expression but is upregulated during tissue injury. Blocking HA fragment:RHAMM interactions has therapeutic potential for treating cancer but truncation of RHAMM into peptides mimicking only the HA binding domains is predicted to lose their natural α-helical structure. The goal of this project is to explore the effects cyclizing each binding domain has on helicity and its biological effect. Eighteen peptides were synthesized and cyclized using lactam bridges. The …
Using Machine Learning To Predict Chemotherapy Response In Cell Lines And Patients Based On Genetic Expression, Dimo Angelov
Using Machine Learning To Predict Chemotherapy Response In Cell Lines And Patients Based On Genetic Expression, Dimo Angelov
Electronic Thesis and Dissertation Repository
The goal of this thesis was to examine different machine learning techniques for predicting chemotherapy response in cell lines and patients based on genetic expression. After trying regression, multi-class classification techniques and binary classification it was concluded that binary classification was the best method for training models due to the limited size of available cell line data. We found support vector machine classifiers trained on cell line data were easier to use and produced better results compared to neural networks. Sequential backward feature selection was able to select genes for the models that produced good results, however the greedy algorithm …