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

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 applied to...

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Detalles Bibliográficos
Autores principales: Elkin, Rena, Oh, Jung Hun, Liu, Ying L., Selenica, Pier, Weigelt, Britta, Reis-Filho, Jorge S., Zamarin, Dmitriy, Deasy, Joseph O., Norton, Larry, Levine, Arnold J., Tannenbaum, Allen R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613272/
https://www.ncbi.nlm.nih.gov/pubmed/34819508
http://dx.doi.org/10.1038/s41525-021-00259-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8613272/
https://www.ncbi.nlm.nih.gov/pubmed/34819508
http://dx.doi.org/10.1038/s41525-021-00259-9

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