Cascade: a R package to study, predict and simulate the diffusion of a signal through a temporal gene network
Author(s) -
Nicolas Jung,
Frédèric Bertrand,
Seiamak Bahram,
Laurent Vallat,
Myriam MaumyBertrand
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt705
Subject(s) - r package , cascade , computer science , gene regulatory network , biological network , signal (programming language) , spotting , data mining , gene , artificial intelligence , computational biology , gene expression , biology , programming language , genetics , engineering , chemical engineering
Temporal gene interactions, in response to environmental stress, form a complex system that can be efficiently described using gene regulatory networks. They allow highlighting the more influential genes and spotting some targets for biological intervention experiments. Despite that many reverse engineering tools have been designed, the Cascade package is an integrated solution adding several new and original key features such as the ability to predict changes in gene expressions after a biological perturbation in the network and graphical outputs that allow monitoring the spread of a signal through the network.
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