- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Gene network interconnectedness and the generalized topological overlap measure ; volume:8 ; number:1 ; day:24 ; month:1 ; year:2007 ; pages:1-14 ; date:12.2007
BMC bioinformatics ; 8, Heft 1 (24.1.2007), 1-14, 12.2007
- Creator
-
Yip, Andy M.
- Contributor
-
Horvath, Steve
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-8-22
- URN
-
urn:nbn:de:1111-2016021629341
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:20 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
- Yip, Andy M.
- Horvath, Steve
- SpringerLink (Online service)
Other Objects (12)
DNA methylation age of human tissues and cell types
Random generalized linear model: a highly accurate and interpretable ensemble predictor
Eigengene networks for studying the relationships between co-expression modules
Understanding network concepts in modules
WGCNA: an R package for weighted correlation network analysis
Network methods for describing sample relationships in genomic datasets: application to Huntington’s disease
Comparison of co-expression measures: mutual information, correlation, and model based indices
Cluster and propensity based approximation of a network
Epigenetic age provides insight into tissue origin in endometriosis
Multivariate variance-components analysis of longitudinal blood pressure measurements from the Framingham Heart Study
Using genetic markers to orient the edges in quantitative trait networks: The NEO software
Significant variation in the performance of DNA methylation predictors across data preprocessing and normalization strategies
DNA methylation age of human tissues and cell types
Random generalized linear model: a highly accurate and interpretable ensemble predictor
Eigengene networks for studying the relationships between co-expression modules
Understanding network concepts in modules
WGCNA: an R package for weighted correlation network analysis
Network methods for describing sample relationships in genomic datasets: application to Huntington’s disease
Comparison of co-expression measures: mutual information, correlation, and model based indices
Cluster and propensity based approximation of a network
Epigenetic age provides insight into tissue origin in endometriosis
Multivariate variance-components analysis of longitudinal blood pressure measurements from the Framingham Heart Study
Using genetic markers to orient the edges in quantitative trait networks: The NEO software
Significant variation in the performance of DNA methylation predictors across data preprocessing and normalization strategies
DNA methylation age of human tissues and cell types
Random generalized linear model: a highly accurate and interpretable ensemble predictor
Eigengene networks for studying the relationships between co-expression modules
Understanding network concepts in modules
WGCNA: an R package for weighted correlation network analysis
Network methods for describing sample relationships in genomic datasets: application to Huntington’s disease
Comparison of co-expression measures: mutual information, correlation, and model based indices
Cluster and propensity based approximation of a network
Epigenetic age provides insight into tissue origin in endometriosis
Multivariate variance-components analysis of longitudinal blood pressure measurements from the Framingham Heart Study
Using genetic markers to orient the edges in quantitative trait networks: The NEO software