Network-based Survival Analysis Reveals Subnetwork Signatures for Predicting Outcomes of Ovarian Cancer Treatment

Cox regression is commonly used to predict the outcome by the time to an event of interest and in addition, identify relevant features for survival analysis in cancer genomics. Due to the high-dimensionality of high-throughput genomic data, existing Cox models trained on any particular dataset usual...

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Detaylı Bibliyografya
Asıl Yazarlar: Zhang, Wei, Ota, Takayo, Shridhar, Viji, Chien, Jeremy, Wu, Baolin, Kuang, Rui
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Public Library of Science 2013
Konular:
Research Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC3605061/
https://ncbi.nlm.nih.gov/pubmed/23555212
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1002975
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