Article

Geometric Network Analysis Provides Prognostic Information in Patients with High Grade Serous Carcinoma of the Ovary Treated with Immune Checkpoint Inhibitors

2021-06-11

Abstract excerpt

<h4>Purpose</h4> Network analysis methods can potentially quantify cancer disturbances in gene networks without introducing fitted parameters or variable selection. A new network curvature-based method is introduced to provide an integrated measure of variability within cancer gene networks. The method is applied to high grade serous ovarian cancers (HGSOCs) to predict response to immune checkpoint inhibitors (IC...

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Literature Corpus work: 0a5bfb8d-8ecd-564c-8761-ed7609f5d510
DOI: 10.1101/2021.06.10.447889

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