Tag: Regulatory Network

ml-SVR – Identify Condition-Specific Regulatory Networks

ml-SVR

:: DESCRIPTION

ml-SVR (Multi-level Support Vector Regression) implements regulatory module identification through multi-level support vector regression

::DEVELOPER

Computational Bioinformatics & Bio-imaging Laboratory (CBIL)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 ml-SVR

:: MORE INFORMATION

Citation:

Bioinformatics. 2010 Jun 1;26(11):1416-22. Epub 2010 Apr 7.
Multilevel support vector regression analysis to identify condition-specific regulatory networks.
Chen L, Xuan J, Riggins RB, Wang Y, Hoffman EP, Clarke R.

BioQuali 2 – Cytoscape Plugin for Analysing the Global Consistency of Regulatory Networks

BioQuali 2

:: DESCRIPTION

BioQuali analyses regulatory networks and expression datasets by checking a global consistency between the regulatory model and the expression data. It diagnoses a regulatory network searching for the regulations that are not consistent with the expression data, and it outputs a set of genes which predicted expression is decided in order to explain the expression data provided.

BioQuali Online Version

::DEVELOPER

the Symbiose project at IRISA-INRIA, Rennes, France.

:: SCREENSHOTS

:: REQUIREMENTS

:: DOWNLOAD

 BioQuali

:: MORE INFORMATION

Citation:

BioQuali Cytoscape plugin: analysing the global consistency of regulatory networks
Carito Guziolowski , Annabel Bourdé , Francois Moreews and Anne Siege
BMC Genomics 2009, 10:244doi:10.1186/1471-2164-10-244