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Article

DDN2.0: R and Python packages for differential dependency network analysis of biological systems

2021-04-11

Abstract excerpt

<h4>Summary</h4> Data-driven differential dependency network analysis identifies in a complex and often unknown overall molecular circuitry a network of differentially connected molecular entities (pairwise selective coupling or uncoupling depending on the specific phenotypes or experimental conditions) (Herrington, et al. 2018; Zhang, et al., 2009; Zhang and Wang, 2010; Zhang, et al., 2016). Such differential de...

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Literature Corpus work
87fb1850-212d-5a3f-b727-9a90e421449d
DOI
10.1101/2021.04.10.439301
Open publication

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DDN2.0: R and Python packages for differential dependency network analysis of biological systemsDOI 10.1101/2021.04.10.439301
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