Subclonal reconstruction of tumors by using machine learning and population genetics-Reference-Cited by-同舟云学术

Subclonal reconstruction of tumors by using machine learning and population genetics

Published:2020-09 Issue:9 Volume:52 Page:898-907
ISSN:1061-4036
Container-title:Nature Genetics
language:en
Short-container-title:Nat Genet

Author:

Caravagna Giulio,Heide Timon^ORCID,Williams Marc J.^ORCID,Zapata Luis^ORCID,Nichol Daniel^ORCID,Chkhaidze Ketevan,Cross William,Cresswell George D.^ORCID,Werner Benjamin^ORCID,Acar Ahmet,Chesler Louis^ORCID,Barnes Chris P.^ORCID,Sanguinetti Guido,Graham Trevor A.^ORCID,Sottoriva Andrea^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Genetics

Link

https://www.nature.com/articles/s41588-020-0675-5.pdf

Reference48 articles.

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3. Nik-Zainal, S. et al. The life history of 21 breast cancers. Cell 149, 994–1007 (2012).

4. Dentro, S. C., Wedge, D. C. & Van Loo, P. Principles of reconstructing the subclonal architecture of cancers. Cold Spring Harb. Perspect. Med. 7, a026625 (2017).

5. Roth, A. et al. PyClone: statistical inference of clonal population structure in cancer. Nat. Meth. 11, 396–398 (2014).

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