Retraction Note: Microarray analysis for differentially expressed genes of patients undergoing total knee arthroplasty with ischemia preconditioning
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1749-799X
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Retraction Note: Microarray analysis for differentially expressed genes of patients undergoing total knee arthroplasty with ischemia preconditioning ; volume:10 ; number:1 ; day:26 ; month:3 ; year:2015 ; pages:1 ; date:12.2015
Journal of orthopaedic surgery and research ; 10, Heft 1 (26.3.2015), 1, 12.2015
- Creator
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Wang, Jianguang
Cai, Zhengdong
Liu, Junjian
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13018-015-0182-z
- URN
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urn:nbn:de:101:1-2021082621584023302425
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:58 AM CEST
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Associated
- Wang, Jianguang
- Cai, Zhengdong
- Liu, Junjian
- SpringerLink (Online service)
Other Objects (12)
RETRACTED ARTICLE: Microarray analysis for differentially expressed genes of patients undergoing total knee arthroplasty with ischemia preconditioning
Proteomic analysis of differentially expressed proteins in the heart following desflurane preconditioning
Sample size for detecting differentially expressed genes in microarray experiments
Cross platform microarray analysis for robust identification of differentially expressed genes
A unified framework for finding differentially expressed genes from microarray experiments
Nonparametric modeling approach for discovering differentially expressed genes in replicated microarray experiments
Nonparametric Modeling Approach for Discovering Differentially Expressed Genes in Replicated Microarray Experiments
Density based pruning for identification of differentially expressed genes from microarray data
Determination of the differentially expressed genes in microarray experiments using local FDR
Microarray profile of differentially expressed genes in a monkey model of allergic asthma
Identification of differentially expressed genes in microarray data in a principal component space
Two-way AIC: detection of differentially expressed genes from large scale microarray meta-dataset
RETRACTED ARTICLE: Microarray analysis for differentially expressed genes of patients undergoing total knee arthroplasty with ischemia preconditioning
Proteomic analysis of differentially expressed proteins in the heart following desflurane preconditioning
Sample size for detecting differentially expressed genes in microarray experiments
Cross platform microarray analysis for robust identification of differentially expressed genes
A unified framework for finding differentially expressed genes from microarray experiments
Nonparametric modeling approach for discovering differentially expressed genes in replicated microarray experiments
Nonparametric Modeling Approach for Discovering Differentially Expressed Genes in Replicated Microarray Experiments
Density based pruning for identification of differentially expressed genes from microarray data
Determination of the differentially expressed genes in microarray experiments using local FDR
Microarray profile of differentially expressed genes in a monkey model of allergic asthma
Identification of differentially expressed genes in microarray data in a principal component space
Two-way AIC: detection of differentially expressed genes from large scale microarray meta-dataset
RETRACTED ARTICLE: Microarray analysis for differentially expressed genes of patients undergoing total knee arthroplasty with ischemia preconditioning
Proteomic analysis of differentially expressed proteins in the heart following desflurane preconditioning
Sample size for detecting differentially expressed genes in microarray experiments
Cross platform microarray analysis for robust identification of differentially expressed genes
A unified framework for finding differentially expressed genes from microarray experiments
Nonparametric modeling approach for discovering differentially expressed genes in replicated microarray experiments
Nonparametric Modeling Approach for Discovering Differentially Expressed Genes in Replicated Microarray Experiments
Density based pruning for identification of differentially expressed genes from microarray data
Determination of the differentially expressed genes in microarray experiments using local FDR
Microarray profile of differentially expressed genes in a monkey model of allergic asthma
Identification of differentially expressed genes in microarray data in a principal component space