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...

Full description

Bibliographic Details
Main Authors: Feizi-Khankandi, Soheil, Marbach, Daniel, Medard, Muriel, Kellis, Manolis
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Nature Publishing Group 2014
Online Access:http://hdl.handle.net/1721.1/87073
https://orcid.org/0000-0002-0964-0616
https://orcid.org/0000-0003-4059-407X

Internet

http://hdl.handle.net/1721.1/87073
https://orcid.org/0000-0002-0964-0616
https://orcid.org/0000-0003-4059-407X

Similar Items