Genomic Analysis Using Regularized Regression in High-Grade Serous Ovarian Cancer

Genomic Analysis Using Regularized Regression in High-Grade Serous Ovarian Cancer

High-grade serous ovarian cancer (HGSOC) is a complex disease in which initiation and progression have been associated with copy number alterations, epigenetic processes, and, to a lesser extent, germline variation. We hypothesized that, when summarized at the gene level, tumor methylation and germl...

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Bibliografske podrobnosti
Main Authors: Yanina Natanzon, Madalene Earp, Julie M Cunningham, Kimberly R Kalli, Chen Wang, Sebastian M Armasu, Melissa C Larson, David DL Bowtell, Dale W Garsed, Brooke L Fridley, Stacey J Winham, Ellen L Goode
Format: Article
Jezik:English
Izdano: SAGE Publishing 2018-01-01
Serija:Cancer Informatics
Online dostop:https://doi.org/10.1177/1176935118755341

Internet

https://doi.org/10.1177/1176935118755341

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