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SELDOM V1.0.3

Authors: David Henriques; Alejandro F. Villaverde; Miguel Rocha; Julio Saez-Rodriguez; Julio R. Banga;

SELDOM V1.0.3

Abstract

SELDOM stands for enSEmbLe of Dynamic lOgic-based Models. SELDOM is framework for building predictive signalling models that combines mutual information, ensemble modelling, logic-based ODEs and optimization. Here we provide a short manual on how to use SELDOM both for reproducing our results and adapting SELDOM to solve a new problem. The code is not distributed with the purpose of being a user friendly software. It requires a LINUX cluster as well as some knowledge in LINUX and R programming.

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citations
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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