Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification-Reference-Cited by-同舟云学术

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Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification

Published:2015-12 Issue:1 Volume:16 Page:
ISSN:1471-2164
Container-title:BMC Genomics
language:en
Short-container-title:BMC Genomics

Author:

Wu Dingming,Wang Dongfang,Zhang Michael Q.,Gu Jin

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Tsinghua University Initiative Scientific Research Program

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Biotechnology

Link

http://link.springer.com/content/pdf/10.1186/s12864-015-2223-8

Reference35 articles.

1. Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136(5):E359–386.

2. Siegel R, Ma J, Zou Z, Jemal A. Cancer statistics, 2014. CA Cancer J Clin. 2014;64(1):9–29.

3. Bedard PL, Hansen AR, Ratain MJ, Siu LL. Tumour heterogeneity in the clinic. Nature. 2013;501:355–64.

4. Burrell RA, McGranahan N, Bartek J, Swanton C. The causes and consequences of genetic heterogeneity in cancer evolution. Nature. 2013;501:338–45.

5. Hayhoe FG. Classification of acute leukaemias. Blood Rev. 1988;2:186–93.

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