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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.
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). | 0 | |
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. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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