- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Super-sparse principal component analyses for high-throughput genomic data ; volume:11 ; number:1 ; day:2 ; month:6 ; year:2010 ; pages:1-10 ; date:12.2010
BMC bioinformatics ; 11, Heft 1 (2.6.2010), 1-10, 12.2010
- Creator
-
Lee, Donghwan
- Contributor
- DOI
-
10.1186/1471-2105-11-296
- URN
-
urn:nbn:de:1111-2016021716931
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:21 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
- Lee, Donghwan
- Lee, Woojoo
- Lee, Youngjo
- Pawitan, Yudi
- SpringerLink (Online service)
Other Objects (12)
Stochastic convex sparse principal component analysis
Detecting selection in low-coverage high-throughput sequencing data using principal component analysis
Sparse Principal Component Analysis for Natural Language Processing
Sparse principal component regression via singular value decomposition approach
Least angle sparse principal component analysis for ultrahigh dimensional data
An efficient classification method based on principal component and sparse representation
High-throughput transcriptomics
Identifying Important Pairwise Logratios in Compositional Data with Sparse Principal Component Analysis
'PACLIMS': A component LIM system for high-throughput functional genomic analysis
Principal component analysis
Principal component analysis
A principal component-guided sparse regression approach for the determination of bitcoin returns
Stochastic convex sparse principal component analysis
Detecting selection in low-coverage high-throughput sequencing data using principal component analysis
Sparse Principal Component Analysis for Natural Language Processing
Sparse principal component regression via singular value decomposition approach
Least angle sparse principal component analysis for ultrahigh dimensional data
An efficient classification method based on principal component and sparse representation
High-throughput transcriptomics
Identifying Important Pairwise Logratios in Compositional Data with Sparse Principal Component Analysis
'PACLIMS': A component LIM system for high-throughput functional genomic analysis
Principal component analysis
Principal component analysis
A principal component-guided sparse regression approach for the determination of bitcoin returns
Stochastic convex sparse principal component analysis
Detecting selection in low-coverage high-throughput sequencing data using principal component analysis
Sparse Principal Component Analysis for Natural Language Processing
Sparse principal component regression via singular value decomposition approach
Least angle sparse principal component analysis for ultrahigh dimensional data
An efficient classification method based on principal component and sparse representation
High-throughput transcriptomics
Identifying Important Pairwise Logratios in Compositional Data with Sparse Principal Component Analysis
'PACLIMS': A component LIM system for high-throughput functional genomic analysis
Principal component analysis
Principal component analysis