coRegnet-package

coRegnet


coRegnet can be used to infer and analyse regulatory networks. Although it can be used with any network, it has it's own regulatory network inference routine based on a hybrid version of LICORN which combines both a discrete and a statistical model to infer regulatory network with an emphasis on regulator cooperativity.<p></p><p>
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 Biological network 

This package provides methods to identify active
transcriptional programs. Methods and classes are provided to
import or infer large scale co-regulatory network from
transcriptomic data. The specificity of the encoded networks is
to model Transcription Factor cooperation. External regulation
evidences (TFBS, ChIP,...) can be integrated to assess the
inferred network and refine it if necessary. Transcriptional
activity of the regulators in the network can be estimated
using an measure of their influence in a given sample. Finally,
an interactive UI can be used to navigate through the network
of cooperative regulators and to visualize their activity in a
specific sample or subgroup sample. The proposed visualization
tool can be used to integrate gene expression, transcriptional
activity, copy number status, sample classification and a
transcriptional network including co-regulation information.

Remy Nicolle

CoRegNet

CoRegNet : reconstruction and integrated analysis of co-regulatory
networks

coRegnet-package function

coRegnet can be used to infer and analyse regulatory networks. Although it can be used with any network, it has it's own regulatory network inference routine based on a hybrid version of LICORN which combines both a discrete and a statistical model to infer regulatory network with an emphasis on regulator cooperativity.

coRegnet-package: coRegnet : inference and interrogation co-regulation networks

Description

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