English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The transcriptional regulation of cellular functions is carried out by the overlapping functional modules of a complex network. In this paper, a statistical approach for detecting functional modules in the transcriptional regulatory networks (TRNs) is studied. The proposed method defines modules as groups of links rather than nodes since nodes naturally belong to more than one module. Furthermore, the proposed algorithm is evaluated on the Escherichia coli TRN. The experimental results demonstrate that it detected a suitable number of overlapping modules that were biologically meaningful without any prior knowledge about the modules.

A link partition approach for finding overlapping functional modules in the transcriptional regulatory network