Using the “Hidden” genome to improve classification of cancer types
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DOI: 10.1111/biom.13367
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References listed on IDEAS
- Vincent, Martin & Hansen, Niels Richard, 2014. "Sparse group lasso and high dimensional multinomial classification," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 771-786.
- Saptarshi Chakraborty & Arshi Arora & Colin B. Begg & Ronglai Shen, 2019. "Using somatic variant richness to mine signals from rare variants in the cancer genome," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
- Jianqing Fan & Jinchi Lv, 2008. "Sure independence screening for ultrahigh dimensional feature space," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(5), pages 849-911, November.
- Ludmil B. Alexandrov & Serena Nik-Zainal & David C. Wedge & Samuel A. J. R. Aparicio & Sam Behjati & Andrew V. Biankin & Graham R. Bignell & Niccolò Bolli & Ake Borg & Anne-Lise Børresen-Dale & Sandri, 2013. "Correction: Corrigendum: Signatures of mutational processes in human cancer," Nature, Nature, vol. 502(7470), pages 258-258, October.
- Ludmil B. Alexandrov & Serena Nik-Zainal & David C. Wedge & Samuel A. J. R. Aparicio & Sam Behjati & Andrew V. Biankin & Graham R. Bignell & Niccolò Bolli & Ake Borg & Anne-Lise Børresen-Dale & Sandri, 2013. "Signatures of mutational processes in human cancer," Nature, Nature, vol. 500(7463), pages 415-421, August.
- Ming Yuan & Yi Lin, 2006. "Model selection and estimation in regression with grouped variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(1), pages 49-67, February.
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