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BioNet Package

Routines for the integrated, functional analysis of biological networks. The BioNet package provides an extensive framework for integrated network analysis using R and BioConductor. It includes the statistics for the integration of transcriptomic and functional data with biological networks, the methods for scoring of nodes, methods for optimal, suboptimal and fast heuristic searches, as well as routines for the visualization of the fitted model and resulting modules. You can download the Tutorial. Dittr...

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BioNet Package | bionet.bioapps.biozentrum.uni-wuerzburg.de Reviews
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Routines for the integrated, functional analysis of biological networks. The BioNet package provides an extensive framework for integrated network analysis using R and BioConductor. It includes the statistics for the integration of transcriptomic and functional data with biological networks, the methods for scoring of nodes, methods for optimal, suboptimal and fast heuristic searches, as well as routines for the visualization of the fitted model and resulting modules. You can download the Tutorial. Dittr...
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BioNet Package | bionet.bioapps.biozentrum.uni-wuerzburg.de Reviews

https://bionet.bioapps.biozentrum.uni-wuerzburg.de

Routines for the integrated, functional analysis of biological networks. The BioNet package provides an extensive framework for integrated network analysis using R and BioConductor. It includes the statistics for the integration of transcriptomic and functional data with biological networks, the methods for scoring of nodes, methods for optimal, suboptimal and fast heuristic searches, as well as routines for the visualization of the fitted model and resulting modules. You can download the Tutorial. Dittr...

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bioconductor.org bioconductor.org

Bioconductor - BioNet

http://www.bioconductor.org/packages/release/bioc/html/BioNet.html

To install this package, start R and enter:. Try http:/ if https:/ URLs are not supported source("https:/ bioconductor.org/biocLite.R") biocLite("BioNet"). In most cases, you don't need to download the package archive at all. Routines for the functional analysis of biological networks. Bioconductor version: Release (3.3). Author: Marcus Dittrich and Daniela Beisser. Citation (from within R, enter. To install this package, start R and enter:. BioC 2.7 (R-2.12) (6 years). GPL ( = 2). For learning and use.

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BioNet Package

Routines for the integrated, functional analysis of biological networks. The BioNet package provides an extensive framework for integrated network analysis using R and BioConductor. It includes the statistics for the integration of transcriptomic and functional data with biological networks, the methods for scoring of nodes, methods for optimal, suboptimal and fast heuristic searches, as well as routines for the visualization of the fitted model and resulting modules. You can download the Tutorial. Dittr...

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