Autoencoder with regression-based model for repurposing drugs for epithelial ovarian cancer

Ovarian cancer is one of the lethal cancers with a high incidence, high mortality and low survival rates. Other factors that worsen the situation are the limited options for effective and safer drugs and the development of resistance to treatments. One of the ways to solve this issue is through drug...

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Bibliographic Details
Main Author:	Agraviador, Julianne Marie A. (Author)
Other Authors:	Evangelista, Erin Jayne F. (author .), Trinidad, Ma Xienina A. (author .), Rivera, Robertson G. (adviser .)
Format:	Thesis
Language:	English
Subjects:	Ovarian diseases. > Drug therapy > Machine learning. Epithelium > Cancer > Drug therapy > Regression analysis. Ovarian cancer. PIK3CA . Autoencoder model . Regression model.