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Article . 2016
License: http://www.opensource.org/licenses/GPL-3.0
Data sources: Datacite
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Local Edge Machine (Lem)

descriptionPublicationkeyboard_double_arrow_right Article 21 Sep 2016Publisher:Zenodo
Authors: Guo, Xin; McGoff, Kevin; Deckard, Anastasia; Harer, John;

doi: 10.5281/zenodo.154551

Local Edge Machine (Lem)

Abstract

Local Edge Machine (LEM) Beginning with time-series gene expression data, the Local Edge Machine (LEM) seeks to find functional network models capable of exhibiting the dynamic behavior of the data. It combines nonlinear kinetic equations, a Bayesian framework, and a local approximation to the system of differential equations that relies on sparse priors.

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Keywords

gene regulatory networks; inference; time series

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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