RT Journal Article SR Electronic T1 Network Identification Methods JF bioRxiv FD Cold Spring Harbor Laboratory SP 071217 DO 10.1101/071217 A1 Young Hwan Chang A1 Tomlin J. Clair A1 ICBP Member YR 2016 UL http://biorxiv.org/content/early/2016/09/26/071217.abstract AB Recently, network inference algorithms have grown tremendously in the field of systems biology because network identification is essential for understanding relationships between regulation mechanisms for genes, elucidating functional mechanisms underlying cellular processes, as well as identifying molecular targets for discoveries in medicines. This article provides a brief overview of different approaches used to identify biological networks and reviews recent advances in network identification.