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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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Related topics

Related topics

14 relations
AlgorithmBayesian networkBiological networkBoolean network

Broader (2)

BioinformaticsSystems biology

Papers overview

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2018
2018
PCM: A Pairwise Correlation Mining Package for Biological Network Inference
One fundamental task in molecular biology is to understand the dependency among genes or proteins to model biological networks… 
Review
2018
Review
2018
Network inference using independence criteria
Biological systems are driven by complex regulatory processes. Graphical models play a crucial role in the analysis and… 
2018
2018
a Transfer learning approach and Selective Integration of Multiple Types of assays for Biological Network Inference
Inferring the relationship among proteins is a central issue of computational biology and a diversity of biological assays are… 
2017
2017
New challenges for (biological) network inference with sparse Gaussian graphical models
Network inference methods based upon sparse Gaussian Graphical Models (GGM) have recently emerged as a promising exploratory tool… 
2016
2016
Integrative Gene Regulatory Network inference using multi-omics data
Biological network inference is of importance to understand underlying biological mechanisms. Gene regulatory networks describe… 
2012
2012
Biological network inference via DTW & Correlation measures from time-course data
6 Summary and Conclusions 75 Bibliography 77 Acknowledgments It is a great pleasure to thank my supervisor, Dr. Giuseppe Jurman… 
2011
2011
Model Identification Using Correlation-Based Inference and Transfer Entropy Estimation
Biological network inference makes use of mathematical methods to deduce the topology of networks of biochemical interactions… 
2007
2007
SEBINI-CABIN: An Analysis Pipeline for Biological Network Inference, with a Case Study in Protein-Protein Interaction Network Reconstruction
The Software Environment for Biological Network Inference (SEBINI) has been created to provide an interactive environment for the… 
2006
2006
Finding an optimal DE model for biological network inference
A variety of biological processes can be modeled by a network composed of many interacting component units (e.g. genes, proteins… 
2004
2004
Selective Integration of Multiple Genomic Data for Biological Network Inference
In the field of computational biology, recently there has been a surge of interest in biological networks such as protein… 
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