Integrative analysis of multiple types of genomic data using an accelerated failure time frailty model
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DOI: 10.1007/s00180-020-01060-5
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- Jin Liu & Shuangge Ma & Jian Huang, 2014. "Integrative Analysis of Cancer Diagnosis Studies with Composite Penalization," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(1), pages 87-103, March.
- Thierry Chekouo & Francesco C. Stingo & James D. Doecke & Kim-Anh Do, 2017. "A Bayesian integrative approach for multi-platform genomic data: A kidney cancer case study," Biometrics, The International Biometric Society, vol. 73(2), pages 615-624, June.
- Hsin-Chieh Wu & Yu-Ching Lin & Cheng-Hsin Liu & Hsiang-Ching Chung & Ya-Ting Wang & Ya-Wen Lin & Hsin-I. Ma & Pang-Hsien Tu & Sean E. Lawler & Ruey-Hwa Chen, 2014. "USP11 regulates PML stability to control Notch-induced malignancy in brain tumours," Nature Communications, Nature, vol. 5(1), pages 1-16, May.
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Keywords
Genomic data; High-dimensional data; Integrative analysis; Sparse group lasso; Accelerated failure time frailty model;All these keywords.
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