A unified framework for finding differentially expressed genes from microarray experiments
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A unified framework for finding differentially expressed genes from microarray experiments ; volume:8 ; number:1 ; day:18 ; month:9 ; year:2007 ; pages:1-21 ; date:12.2007
BMC bioinformatics ; 8, Heft 1 (18.9.2007), 1-21, 12.2007
- Urheber
-
Shaik, Jahangheer S.
- Beteiligte Personen und Organisationen
-
Yeasin, Mohammed
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-8-347
- URN
-
urn:nbn:de:1111-2016021629772
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:23 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Shaik, Jahangheer S.
- Yeasin, Mohammed
- SpringerLink (Online service)
Ähnliche Objekte (12)
Sample size for detecting differentially expressed genes in microarray experiments
Cross platform microarray analysis for robust identification of differentially expressed genes
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
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
OpWise: Operons aid the identification of differentially expressed genes in bacterial microarray experiments
Sample size for detecting differentially expressed genes in microarray experiments
Cross platform microarray analysis for robust identification of differentially expressed genes
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
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
OpWise: Operons aid the identification of differentially expressed genes in bacterial microarray experiments
Sample size for detecting differentially expressed genes in microarray experiments
Cross platform microarray analysis for robust identification of differentially expressed genes
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
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