Integrating mutation and gene expression cross-sectional data to infer cancer progression-Reference-Cited by-同舟云学术

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Integrating mutation and gene expression cross-sectional data to infer cancer progression

Published:2016-01-25 Issue:1 Volume:10 Page:
ISSN:1752-0509
Container-title:BMC Systems Biology
language:en
Short-container-title:BMC Syst Biol

Author:

Fleck Julia L.,Pavel Ana B.,Cassandras Christos G.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Modeling and Simulation,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12918-016-0255-6.pdf

Reference24 articles.

1. The Cancer Genome Atlas Research Network. Comprehensive molecular portraits of human breast tumours. Nature. 2012; 490(11412):61–70.

2. The Cancer Genome Atlas Research Network. Comprehensive molecular profiling of lung adenocarcinoma. Nature. 2014; 511(7511):543–50.

3. The Cancer Genome Atlas Research Network. Comprehensive genomic characterization of squamous cell lung cancers. Nature. 2012; 489(7417):519–25.

4. The Cancer Genome Atlas Research Network. Comprehensive molecular characterization of human colon and rectal cancer. Nature. 2012; 487(7407):330–7.

5. Gerstung M, Eriksson N, Lin J, Vogelstein B, Beerenwinkel N. The temporal order of genetic and pathway alterations in tumorigenesis. PLoS ONE. 2011; 6(11):27136.

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