The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers
Open accessAbstract
We describe methods with enhanced power and specificity to identify genes targeted by somatic copy-number alterations (SCNAs) that drive cancer growth. By separating SCNA profiles into underlying arm-level and focal alterations, we improve the estimation of background rates for each category. We additionally describe a probabilistic method for defining the boundaries of selected-for SCNA regions with user-defined confidence. Here we detail this revised computational approach, GISTIC2.0, and validate its performance in real and simulated datasets.
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Cites
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“The larger data set, coupled with improvement of the analytical algorithm GISTIC (Mermel et al., 2011), resulted in a significant refinement several recurrent somatic copy-number aberrations (SCNA) (Figure 1C).”
MethodInfluentialSelf-citationMaftools: efficient and comprehensive analysis of somatic variants in cancer
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Metadata
- Authors
- Mermel, C. H., Schumacher, S. E., Hill, B., Meyerson, M. L., Beroukhim, R., & Getz, G.
- Venue
- Genome Biology
- Published
- 2011-04
- Volume
- 12
- Issue
- 4
- Pages
- R41-R41
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W2157852151
- Cited by
- 3,550
- References
- 11
- FWCI
- 17.08
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers. https://app.cochat.ai/papers/10.1186/gb-2011-12-4-r41
- The paper
- Mermel, C. H., Schumacher, S. E., Hill, B., Meyerson, M. L., Beroukhim, R., & Getz, G. (2011). GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers. Genome Biology. https://doi.org/10.1186/gb-2011-12-4-r41
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