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本文引用的文献

1
Algorithmic methods to infer the evolutionary trajectories in cancer progression.
Proc Natl Acad Sci U S A. 2016 Jul 12;113(28):E4025-34. doi: 10.1073/pnas.1520213113. Epub 2016 Jun 28.
2
CAPRI: efficient inference of cancer progression models from cross-sectional data.
Bioinformatics. 2015 Sep 15;31(18):3016-26. doi: 10.1093/bioinformatics/btv296. Epub 2015 May 13.
4
Inferring tree causal models of cancer progression with probability raising.
PLoS One. 2014 Oct 9;9(10):e108358. doi: 10.1371/journal.pone.0108358. eCollection 2014.
5
Network-based stratification of tumor mutations.
Nat Methods. 2013 Nov;10(11):1108-15. doi: 10.1038/nmeth.2651. Epub 2013 Sep 15.
6
The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.
Cancer Discov. 2012 May;2(5):401-4. doi: 10.1158/2159-8290.CD-12-0095.
7
The clonal evolution of tumor cell populations.
Science. 1976 Oct 1;194(4260):23-8. doi: 10.1126/science.959840.

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