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Identification of cancer omics commonality and difference via community fusion

本站小编 Free考研/2020-04-17

文献详情
Identification of cancer omics commonality and difference via community fusion
文献类型:期刊
期刊名称:Statistics in medicine影响因子和分区
年:2019
卷:38
期:7
页码:1200-1212
ISSN:1097-0258
关键词:commonality and difference,community fusion,multi-cancer analysis,network-based analysis
摘要:The analysis of cancer omics data is a "classic" problem; however, it still remains challenging. Advancing from early studies that are mostly focused on a single type of cancer, some recent studies have analyzed data on multiple "related" cancer types/subtypes, examined their commonality and difference, and led to insightful findings. In this article, we consider the analysis of multiple omics datasets, with each dataset on one type/subtype of "related" cancers. A Community Fusion (CoFu) approac ...More
The analysis of cancer omics data is a "classic" problem; however, it still remains challenging. Advancing from early studies that are mostly focused on a single type of cancer, some recent studies have analyzed data on multiple "related" cancer types/subtypes, examined their commonality and difference, and led to insightful findings. In this article, we consider the analysis of multiple omics datasets, with each dataset on one type/subtype of "related" cancers. A Community Fusion (CoFu) approach is developed, which conducts marker selection and model building using a novel penalization technique, informatively accommodates the network community structure of omics measurements, and automatically identifies the commonality and difference of cancer omics markers. Simulation demonstrates its superiority over direct competitors. The analysis of TCGA lung cancer and melanoma data leads to interesting findings.? 2018 John Wiley & Sons, Ltd. ...Hide

DOI:10.1002/sim.8027
百度学术:Identification of cancer omics commonality and difference via community fusion
语言:外文
作者其他论文



Identification of cancer omics commonality and difference via community fusion.Sun Yifan, Jiang Yu, Li Yang, et al. .Statistics in medicine. 2018.
Model Confidence Bounds for Variable Selection.Li Yang, Luo Yuetian, Ferrari Davide, et al. .Biometrics. 2019.
Service Technology Platform of Small and Medium-sized Discrete Manufacturing Enterprise Under the Internet of Everything.Yu Bo, Xie Xiang, Jiang Yu,.PROCEEDINGS OF THE FOURTH INTERNATIONAL SYMPOSIUM - MANAGEMENT, INNOVATION & DEVELOPMENT, BK ONE & TWO. 2017, 1381-1386.
Medical expenditure for middle-aged and elderly in Beijing.Ma Chenjin, Jiang Yan, Li Yang, et al. .BMC health services research. 2019, 19(1), 360.
Validity and reliability of patient section of evidence-based medical records about doctor-patient building through integrated therapy of traditional Chinese and Western medicine (DPEBMR-P) in patients with gastrointestinal diseases.Feng Shuo, Chen Lingxiao, Tian Guihua, et al. .Annals of translational medicine. 2019, 7(6), 121.

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