- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
MGSEA – a multivariate Gene set enrichment analysis ; volume:20 ; number:1 ; day:18 ; month:3 ; year:2019 ; pages:1-22 ; date:12.2019
BMC bioinformatics ; 20, Heft 1 (18.3.2019), 1-22, 12.2019
- Classification
-
Biowissenschaften, Biologie
- Creator
-
Tiong, Khong-Loon
Yeang, Chen-Hsiang
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-019-2716-6
- URN
-
urn:nbn:de:101:1-2019041021071760341574
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:53 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
- Tiong, Khong-Loon
- Yeang, Chen-Hsiang
- SpringerLink (Online service)
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A general modular framework for gene set enrichment analysis
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PhenoFam-gene set enrichment analysis through protein structural information
Network enrichment analysis: extension of gene-set enrichment analysis to gene networks
PAGE: Parametric Analysis of Gene Set Enrichment
TAFFEL: Independent Enrichment Analysis of gene sets
Gene set enrichment analysis for multiple continuous phenotypes
Avoiding the pitfalls of gene set enrichment analysis with SetRank
A general modular framework for gene set enrichment analysis
GAGE: generally applicable gene set enrichment for pathway analysis
Principal component gene set enrichment (PCGSE)
Integrative pathway enrichment analysis of multivariate omics data
PhenoFam-gene set enrichment analysis through protein structural information
Gene set enrichment analysis for genome-wide DNA methylation data
PhenoFam-gene set enrichment analysis through protein structural information
Network enrichment analysis: extension of gene-set enrichment analysis to gene networks
PAGE: Parametric Analysis of Gene Set Enrichment
TAFFEL: Independent Enrichment Analysis of gene sets
Gene set enrichment analysis for multiple continuous phenotypes
Avoiding the pitfalls of gene set enrichment analysis with SetRank
A general modular framework for gene set enrichment analysis
GAGE: generally applicable gene set enrichment for pathway analysis
Principal component gene set enrichment (PCGSE)
Integrative pathway enrichment analysis of multivariate omics data
PhenoFam-gene set enrichment analysis through protein structural information
Gene set enrichment analysis for genome-wide DNA methylation data