Network deconvolution as a general method to distinguish direct dependencies in networks

Network deconvolution as a general method to distinguish direct dependencies in networks

Recognizing direct relationships between variables connected in a network is a pervasive problem in biological, social and information sciences as correlation-based networks contain numerous indirect relationships. Here we present a general method for inferring direct effects from an observed correl...

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Bibliographic Details
Main Authors: Feizi-Khankandi, Soheil (Contributor), Marbach, Daniel (Contributor), Medard, Muriel (Contributor), Kellis, Manolis (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2014-05-21T20:00:20Z.
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