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Biological network inference

Biological network inference is the process of making inferences and predictions about biological networks.
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Papers overview

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2018
2018
One fundamental task in molecular biology is to understand the dependency among genes or proteins to model biological networks… 
2018
2018
Inferring the relationship among proteins is a central issue of computational biology and a diversity of biological assays are… 
2017
2017
Network inference methods based upon sparse Gaussian Graphical Models (GGM) have recently emerged as a promising exploratory tool… 
2015
2015
SEIR (Susceptible-Exposed-Infected-Recovered) is a general and widely-used diffusion model that can model the diffusion in… 
2014
Review
2012
Review
2012
Biological network inference is based on a series of studies and computational approaches to the deduction of the connectivity of… 
2011
2011
Biological network inference makes use of mathematical methods to deduce the topology of networks of biochemical interactions… 
2007
2007
The paper presents MRNet, an original method for inferring genetic networks from microarray data. This method is based on Maximum… 
2007
2007
The Software Environment for Biological Network Inference (SEBINI) has been created to provide an interactive environment for the… 
2004
2004
In the field of computational biology, recently there has been a surge of interest in biological networks such as protein…