Selecting informative genes for discriminant analysis using multigene expression profiles
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Selecting informative genes for discriminant analysis using multigene expression profiles ; volume:9 ; number:2 ; day:16 ; month:9 ; year:2008 ; pages:1-10 ; date:9.2008
BMC genomics ; 9, Heft 2 (16.9.2008), 1-10, 9.2008
- Creator
-
Yan, Xin
- Contributor
-
Zheng, Tian
SpringerLink (Online service)
- DOI
-
10.1186/1471-2164-9-S2-S14
- URN
-
urn:nbn:de:1111-2016072745866
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:48 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Yan, Xin
- Zheng, Tian
- SpringerLink (Online service)
Other Objects (12)
Selecting biologically informative genes in co-expression networks with a centrality score
Integer programming for selecting set of informative markers in paternity inference
Statistical modeling for selecting housekeeper genes
Selecting informative subsets of sparse supermatrices increases the chance to find correct trees
Efficiency gains in structural vector autoregressions by selecting informative higher-order moment conditions
Selecting normalization genes for small diagnostic microarrays
Extremal discriminant analysis
The discriminant embedding
Software for selecting the most informative sets of genomic loci for multi-target microbial typing
Localized Linear Discriminant Analysis
Localized Linear Discriminant Analysis
Selecting control genes for RT-QPCR using public microarray data
Selecting biologically informative genes in co-expression networks with a centrality score
Integer programming for selecting set of informative markers in paternity inference
Statistical modeling for selecting housekeeper genes
Selecting informative subsets of sparse supermatrices increases the chance to find correct trees
Efficiency gains in structural vector autoregressions by selecting informative higher-order moment conditions
Selecting normalization genes for small diagnostic microarrays
Extremal discriminant analysis
The discriminant embedding
Software for selecting the most informative sets of genomic loci for multi-target microbial typing
Localized Linear Discriminant Analysis
Localized Linear Discriminant Analysis
Selecting control genes for RT-QPCR using public microarray data
Selecting biologically informative genes in co-expression networks with a centrality score
Integer programming for selecting set of informative markers in paternity inference
Statistical modeling for selecting housekeeper genes
Selecting informative subsets of sparse supermatrices increases the chance to find correct trees
Efficiency gains in structural vector autoregressions by selecting informative higher-order moment conditions
Selecting normalization genes for small diagnostic microarrays
Extremal discriminant analysis
The discriminant embedding
Software for selecting the most informative sets of genomic loci for multi-target microbial typing
Localized Linear Discriminant Analysis
Localized Linear Discriminant Analysis