Approximate kernel reconstruction for time-varying networks

Approximate kernel reconstruction for time-varying networks

Abstract Background Most existing algorithms for modeling and analyzing molecular networks assume a static or time-invariant network topology. Such view, however, does not render the temporal evolution of the underlying biological process as molecular networks are typically “re-wired” over time in r...

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Bibliographic Details
Main Authors: Gregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg, Hassan M. Fathallah-Shaykh
Format: Article
Language:English
Published: BMC 2019-02-01
Series:BioData Mining
Subjects:
Time-varying network
Compressive sensing
Gene regulatory
Gene regulatory networks
Online Access:http://link.springer.com/article/10.1186/s13040-019-0192-1

Internet

http://link.springer.com/article/10.1186/s13040-019-0192-1

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