Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

4,333 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Publication Date timeline is not available.
Page 1
High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations.
Zhang Y, Chen F, Fonseca NA, He Y, Fujita M, Nakagawa H, Zhang Z, Brazma A; PCAWG Transcriptome Working Group; PCAWG Structural Variation Working Group; Creighton CJ; PCAWG Consortium. Zhang Y, et al. Nat Commun. 2020 Feb 5;11(1):736. doi: 10.1038/s41467-019-13885-w. Nat Commun. 2020. PMID: 32024823 Free PMC article.
Inferring structural variant cancer cell fraction.
Cmero M, Yuan K, Ong CS, Schröder J; PCAWG Evolution and Heterogeneity Working Group; Corcoran NM, Papenfuss T, Hovens CM, Markowetz F, Macintyre G; PCAWG Consortium. Cmero M, et al. Nat Commun. 2020 Feb 5;11(1):730. doi: 10.1038/s41467-020-14351-8. Nat Commun. 2020. PMID: 32024845 Free PMC article.
Integrative pathway enrichment analysis of multivariate omics data.
Paczkowska M, Barenboim J, Sintupisut N, Fox NS, Zhu H, Abd-Rabbo D, Mee MW, Boutros PC; PCAWG Drivers and Functional Interpretation Working Group; Reimand J; PCAWG Consortium. Paczkowska M, et al. Nat Commun. 2020 Feb 5;11(1):735. doi: 10.1038/s41467-019-13983-9. Nat Commun. 2020. PMID: 32024846 Free PMC article.
A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns.
Jiao W, Atwal G, Polak P, Karlic R, Cuppen E; PCAWG Tumor Subtypes and Clinical Translation Working Group; Danyi A, de Ridder J, van Herpen C, Lolkema MP, Steeghs N, Getz G, Morris QD, Stein LD; PCAWG Consortium. Jiao W, et al. Nat Commun. 2020 Feb 5;11(1):728. doi: 10.1038/s41467-019-13825-8. Nat Commun. 2020. PMID: 32024849 Free PMC article.
4,333 results