Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine-Reference-Cited by-同舟云学术

Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine

Published:2019-05-29 Issue:1-2 Volume:27 Page:56-69
ISSN:0929-1903
Container-title:Cancer Gene Therapy
language:en
Short-container-title:Cancer Gene Ther

Author:

Li JiaRui,Lu Lin,Zhang Yu-Hang,Xu YaoChen,Liu Min,Feng KaiYan,Chen Lei,Kong XiangYin,Huang Tao,Cai Yu-Dong^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Molecular Biology,Molecular Medicine

Link

http://www.nature.com/articles/s41417-019-0105-y.pdf

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4. Huang XX, Xiong M, Jin YJ, Deng CH, Xu H, An CQ, et al. Evidence that high-migration drug-surviving MOLT4 leukemia cells exhibit cancer stem cell-like properties. Int J Oncol. 2016;49:343–51.

5. Fong CY, Gilan O, Lam EYN, Rubin AF, Ftouni S, Tyler D, et al. BET inhibitor resistance emerges from leukaemia stem cells. Nature. 2015;525:538–42.

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