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Identification Of Biomarkers For The Overall Survival Of Ovarian Cancer Patients, Kristi Mai
Identification Of Biomarkers For The Overall Survival Of Ovarian Cancer Patients, Kristi Mai
Graduate Theses and Dissertations
Rapid advance in sequencing technology has led to genome-wide analysis of genetic and epigenetic features simultaneously, making it possible to understand the biological mechanisms underlying cancer initiation and progression. However, how to identify important prognostic features poses a great challenge for both statistical modeling and computing. In this thesis, a network-based approach is applied to the Cancer Genome Atlas (TCGA) ovarian cancer data to identify important genes related to the overall survival of ovarian cancer patients. In the first step, a stepwise correlation-based selector is used to reduce the dimensionality of TCGA data, by filtering out a large number of …