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Classification Of Breast Cancer Nottingham Prognostic Index Using High-Dimensional Embedding And Convolutional Neural Networks, Li Zhou
Electronic Theses and Dissertations
This work builds a prediction model for multi-omics breast cancer Nottingham Prognostics Index (NPI) classes. Rapid development in next-generation sequencing led to the ability to measure different biological indicators called multi-omics data. The availability of multi-omics data sparked the challenge of integrating and analyzing these various biological measures to understand the progression of the diseases. High-dimensional embedding techniques are used to present the features in the lower dimension, that is a 2-dimensional map. This thesis presents a supervised learning method used to predict breast cancer NPI. The objectives of this research are (i) build a diagnosis system for breast cancer …