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q-bio.QM2024
Discovering Multi-omic Biomarkers for Prostate Cancer Severity Using Machine Learning
Jefferson Zhou, Kahn Rhrissorrakrai
Prostate cancer is the second most common form of cancer, though most patients have a positive prognosis with many experiencing long-term survival with current treatment options. Y…
q-bio.QM2024
WGTDA: A Topological Perspective to Biomarker Discovery in Gene Expression Data
Ndivhuwo Nyase, Lebohang Mashatola, Aviwe Kohlakala +2
Advancing the discovery of prognostic cancer biomarkers is crucial for comprehending disease mechanisms, refining treatment plans, and improving patient outcomes. This study introd…