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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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2017
2017
Network inference methods based upon sparse Gaussian Graphical Models (GGM) have recently emerged as a promising exploratory tool… Expand
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2014
2014
Biological network inference is a crucial problem to solve in Bioinformatics as most of biological process are based on bio… Expand
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Review
2012
Review
2012
Biological network inference is based on a series of studies and computational approaches to the deduction of the connectivity of… Expand
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2011
2011
Biological network inference makes use of mathematical methods to deduce the topology of networks of biochemical interactions… Expand
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2010
2010
Inferring the relationship among proteins is a central issue of computational biology and a diversity of biological assays are… Expand
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2007
2007
The paper presents MRNet, an original method for inferring genetic networks from microarray data. This method is based on Maximum… Expand
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2007
2007
The Software Environment for Biological Network Inference (SEBINI) has been created to provide an interactive environment for the… Expand
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2006
2006
Summary:TheSoftwareEnvironment forBIologicalNetwork Inference (SEBINI) has beencreated to providean interactive environment for… Expand
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2006
2006
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to… Expand
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2004
2004
In the field of computational biology, recently there has been a surge of interest in biological networks such as protein… Expand
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