Two-way AIC: detection of differentially expressed genes from large scale microarray meta-dataset
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2164
- 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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Two-way AIC: detection of differentially expressed genes from large scale microarray meta-dataset ; volume:14 ; number:2 ; day:15 ; month:2 ; year:2013 ; pages:1-11 ; date:2.2013
BMC genomics ; 14, Heft 2 (15.2.2013), 1-11, 2.2013
- Creator
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Tsuyuzaki, Koki
- Contributor
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Tominaga, Daisuke
Kwon, Yeondae
Miyazaki, Satoru
SpringerLink (Online service)
- DOI
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10.1186/1471-2164-14-S2-S9
- URN
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urn:nbn:de:1111-2016072851384
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:02 AM CEST
Data provider
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Associated
- Tsuyuzaki, Koki
- Tominaga, Daisuke
- Kwon, Yeondae
- Miyazaki, Satoru
- SpringerLink (Online service)
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Density based pruning for identification of differentially expressed genes from microarray data
Determination of the differentially expressed genes in microarray experiments using local FDR
A two-way rectification method for identifying differentially expressed genes by maximizing the co-function relationship
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
Improving identification of differentially expressed genes in microarray studies using information from public databases
Bioinformatics analysis of differentially expressed genes in rotator cuff tear patients using microarray data
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
A two-way rectification method for identifying differentially expressed genes by maximizing the co-function relationship
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
Improving identification of differentially expressed genes in microarray studies using information from public databases