BioNet-package: Routines for the functional analysis of biological networks
In assaron/BioNet: Routines for the functional analysis of biological networks
Description
Details
Author(s)
References
Description
This package provides functions for the integrated analysis of biological
networks and the detection of functional modules.
Different datasets can be integrated into the network by assigning p-values derived from statistical
tests to the nodes of the network. E.g. p-values obtained from the differential expression of
genes from an Affymetrix array are assigned to the nodes of an protein-protein interaction network.
By fitting a beta-uniform mixture model and calculating scores from the p-values, overall scores of
network regions can be calculated and an integer linear programming algorithm identifies
the maximum scoring subnetwork.
Details
Package: BioNet
Type: Package
Version: 1.29.1
Date: 2015-09-11
License: GPL (>=2)
LazyLoad: yes
Author(s)
Marcus Dittrich, Daniela Beisser
Maintainer: Marcus Dittrich <marcus.dittrich@biozentrum.uni-wuerzburg.de>
References
M. T. Dittrich, G. W. Klau, A. Rosenwald, T. Dandekar and T. Mueller (2008) Identifying functional modules in protein-protein interaction networks: an integrated exact approach. (ISMB2008) Bioinformatics 24: 13. i223-i231 Jul.
D. Beisser, G. W. Klau, T. Dandekar, T. Mueller and M. Dittrich (2010) BioNet: an R-package for the Functional Analysis of Biological Networks. Bioinformatics 26:08. 1129-1130 Apr.
assaron/BioNet documentation built on Sept. 18, 2020, 12:02 a.m.
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Description Details Author(s) References
Description
This package provides functions for the integrated analysis of biological networks and the detection of functional modules. Different datasets can be integrated into the network by assigning p-values derived from statistical tests to the nodes of the network. E.g. p-values obtained from the differential expression of genes from an Affymetrix array are assigned to the nodes of an protein-protein interaction network. By fitting a beta-uniform mixture model and calculating scores from the p-values, overall scores of network regions can be calculated and an integer linear programming algorithm identifies the maximum scoring subnetwork.
Details
| Package: | BioNet |
| Type: | Package |
| Version: | 1.29.1 |
| Date: | 2015-09-11 |
| License: | GPL (>=2) |
| LazyLoad: | yes |
Author(s)
Marcus Dittrich, Daniela Beisser
Maintainer: Marcus Dittrich <marcus.dittrich@biozentrum.uni-wuerzburg.de>
References
M. T. Dittrich, G. W. Klau, A. Rosenwald, T. Dandekar and T. Mueller (2008) Identifying functional modules in protein-protein interaction networks: an integrated exact approach. (ISMB2008) Bioinformatics 24: 13. i223-i231 Jul.
D. Beisser, G. W. Klau, T. Dandekar, T. Mueller and M. Dittrich (2010) BioNet: an R-package for the Functional Analysis of Biological Networks. Bioinformatics 26:08. 1129-1130 Apr.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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