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The NetResponse algorithm

The project website has moved to R-forge.

NetResponse algorithm described in Lahti et al., Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010). (abstract; preprint (pdf)) provides probabilistic tools for functional network analysis in genome-scale interaction networks over organism-wide collections of transcriptomic, or other measurements.

Download

R/BioC installation

Matlab source code. See the readme file in Matlab tarball for details. The Matlab sources are provided for your convenience but they are not actively supported. We recommend the R package which is more actively supported, and has a wider functionality.

Support

We welcome Your comments and feedback, please contact Leo Lahti.

You are at: [an error occurred while processing this directive]

The NetResponse algorithm

The project website has moved to R-forge.

NetResponse algorithm described in Lahti et al., Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010). (abstract; preprint (pdf)) provides probabilistic tools for functional network analysis in genome-scale interaction networks over organism-wide collections of transcriptomic, or other measurements.

Download

R/BioC installation

Matlab source code. See the readme file in Matlab tarball for details. The Matlab sources are provided for your convenience but they are not actively supported. We recommend the R package which is more actively supported, and has a wider functionality.

Support

We welcome Your comments and feedback, please contact Leo Lahti.

You are at: [an error occurred while processing this directive]

The NetResponse algorithm

The project website has moved to R-forge.

NetResponse algorithm described in Lahti et al., Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010). (abstract; preprint (pdf)) provides probabilistic tools for functional network analysis in genome-scale interaction networks over organism-wide collections of transcriptomic, or other measurements.

Download

R/BioC installation

Matlab source code. See the readme file in Matlab tarball for details. The Matlab sources are provided for your convenience but they are not actively supported. We recommend the R package which is more actively supported, and has a wider functionality.

Support

We welcome Your comments and feedback, please contact Leo Lahti.

You are at: [an error occurred while processing this directive]

The NetResponse algorithm

The project website has moved to R-forge.

NetResponse algorithm described in Lahti et al., Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010). (abstract; preprint (pdf)) provides probabilistic tools for functional network analysis in genome-scale interaction networks over organism-wide collections of transcriptomic, or other measurements.

Download

R/BioC installation

Matlab source code. See the readme file in Matlab tarball for details. The Matlab sources are provided for your convenience but they are not actively supported. We recommend the R package which is more actively supported, and has a wider functionality.

Support

We welcome Your comments and feedback, please contact Leo Lahti.

You are at: [an error occurred while processing this directive]

The NetResponse algorithm

The project website has moved to R-forge.

NetResponse algorithm described in Lahti et al., Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010). (abstract; preprint (pdf)) provides probabilistic tools for functional network analysis in genome-scale interaction networks over organism-wide collections of transcriptomic, or other measurements.

Download

R/BioC installation

Matlab source code. See the readme file in Matlab tarball for details. The Matlab sources are provided for your convenience but they are not actively supported. We recommend the R package which is more actively supported, and has a wider functionality.

Support

We welcome Your comments and feedback, please contact Leo Lahti.

You are at: [an error occurred while processing this directive]

The NetResponse algorithm

The project website has moved to R-forge.

NetResponse algorithm described in Lahti et al., Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010). (abstract; preprint (pdf)) provides probabilistic tools for functional network analysis in genome-scale interaction networks over organism-wide collections of transcriptomic, or other measurements.

Download

R/BioC installation

Matlab source code. See the readme file in Matlab tarball for details. The Matlab sources are provided for your convenience but they are not actively supported. We recommend the R package which is more actively supported, and has a wider functionality.

Support

We welcome Your comments and feedback, please contact Leo Lahti.

You are at: [an error occurred while processing this directive]

The NetResponse algorithm

The project website has moved to R-forge.

NetResponse algorithm described in Lahti et al., Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010). (abstract; preprint (pdf)) provides probabilistic tools for functional network analysis in genome-scale interaction networks over organism-wide collections of transcriptomic, or other measurements.

Download

R/BioC installation

Matlab source code. See the readme file in Matlab tarball for details. The Matlab sources are provided for your convenience but they are not actively supported. We recommend the R package which is more actively supported, and has a wider functionality.

Support

We welcome Your comments and feedback, please contact Leo Lahti.

You are at: [an error occurred while processing this directive]

The NetResponse algorithm

The project website has moved to R-forge.

NetResponse algorithm described in Lahti et al., Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010). (abstract; preprint (pdf)) provides probabilistic tools for functional network analysis in genome-scale interaction networks over organism-wide collections of transcriptomic, or other measurements.

Download

R/BioC installation

Matlab source code. See the readme file in Matlab tarball for details. The Matlab sources are provided for your convenience but they are not actively supported. We recommend the R package which is more actively supported, and has a wider functionality.

Support

We welcome Your comments and feedback, please contact Leo Lahti.

You are at: [an error occurred while processing this directive]

The NetResponse algorithm

The project website has moved to R-forge.

NetResponse algorithm described in Lahti et al., Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010). (abstract; preprint (pdf)) provides probabilistic tools for functional network analysis in genome-scale interaction networks over organism-wide collections of transcriptomic, or other measurements.

Download

R/BioC installation

Matlab source code. See the readme file in Matlab tarball for details. The Matlab sources are provided for your convenience but they are not actively supported. We recommend the R package which is more actively supported, and has a wider functionality.

Support

We welcome Your comments and feedback, please contact Leo Lahti.

You are at: [an error occurred while processing this directive]

The NetResponse algorithm

The project website has moved to R-forge.

NetResponse algorithm described in Lahti et al., Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010). (abstract; preprint (pdf)) provides probabilistic tools for functional network analysis in genome-scale interaction networks over organism-wide collections of transcriptomic, or other measurements.

Download

R/BioC installation

Matlab source code. See the readme file in Matlab tarball for details. The Matlab sources are provided for your convenience but they are not actively supported. We recommend the R package which is more actively supported, and has a wider functionality.

Support

We welcome Your comments and feedback, please contact Leo Lahti.

You are at: [an error occurred while processing this directive](none)

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