Network-based Survival Analysis Reveals Subnetwork Signatures for Predicting Outcomes of Ovarian Cancer Treatment
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DOI: 10.1371/journal.pcbi.1002975
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References listed on IDEAS
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Cited by:
- Ming Yi & Ruoqing Zhu & Robert M Stephens, 2018. "GradientScanSurv—An exhaustive association test method for gene expression data with censored survival outcome," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-28, December.
- Qi Zhang & Yihui Zhang & Yemao Xia, 2024. "Bayesian Feature Extraction for Two-Part Latent Variable Model with Polytomous Manifestations," Mathematics, MDPI, vol. 12(5), pages 1-23, March.
- Antonella Iuliano & Annalisa Occhipinti & Claudia Angelini & Italia De Feis & Pietro Liò, 2021. "COSMONET: An R Package for Survival Analysis Using Screening-Network Methods," Mathematics, MDPI, vol. 9(24), pages 1-25, December.
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