Comparison of alternative mixture model methods to analyze bacterial CGH experiments with multi-genome arrays
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1756-0500
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Comparison of alternative mixture model methods to analyze bacterial CGH experiments with multi-genome arrays ; volume:7 ; number:1 ; day:14 ; month:3 ; year:2014 ; pages:1-8 ; date:12.2014
BMC Research Notes / Biomed Central; 7, Heft 1 (14.3.2014), 1-8, 12.2014
- Creator
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Cardoso, Liliana Sofia
Suissas, Cláudia Elvas
Ramirez, Mário
Antunes, Marília
Pinto, Francisco Rodrigues
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/1756-0500-7-148
- URN
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urn:nbn:de:101:1-2021081221024309148148
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:02 AM CEST
Data provider
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Associated
- Cardoso, Liliana Sofia
- Suissas, Cláudia Elvas
- Ramirez, Mário
- Antunes, Marília
- Pinto, Francisco Rodrigues
- SpringerLink (Online service)
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M-CGH: Analysing microarray-based CGH experiments
Improved analysis of bacterial CGH data beyond the log-ratio paradigm
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Hochauflösende CGH mit Hilfe von DNS-Mikrorastern
M-CGH: Analysing microarray-based CGH experiments
Improved analysis of bacterial CGH data beyond the log-ratio paradigm
CGH analysis in Colombian patients: findings of 1374 arrays in a seven-year study
DNA methylation arrays as surrogate measures of cell mixture distribution
Combined use of expression and CGH arrays pinpoints novel candidate genes in Ewing sarcoma family of tumors
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Methods for high throughput validation of amplified fragment pools of BAC DNA for constructing high resolution CGH arrays
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