Geometric network analysis provides prognostic information in patients with high grade serous carcinoma of the ovary treated with immune checkpoint inhibitors

Abstract Network analysis methods can potentially quantify cancer aberrations 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 ap...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Rena Elkin, Jung Hun Oh, Ying L. Liu, Pier Selenica, Britta Weigelt, Jorge S. Reis-Filho, Dmitriy Zamarin, Joseph O. Deasy, Larry Norton, Arnold J. Levine, Allen R. Tannenbaum
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
R
Accès en ligne:https://doaj.org/article/14677a3e0f704e37a93284a2df2fb8ea
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!