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CCTN: R Scripts, Data Sets and Usage Examples

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Jul 2016Publisher:Zenodo
Authors: Seifert, Michael;

doi: 10.5281/zenodo.58793

CCTN: R Scripts, Data Sets and Usage Examples

Abstract

The ZIP-file contains R scripts and data sets that demonstrate the basic functionality of our algorithms developed for network inference and network propagation. Please unpack the ZIP-file and read the file info.txt for further information. If you plan to use the R scripts for making your own analysis, then please contact me to get the latest version.

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Keywords

network propagation, gene regulatory network inference

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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
0
Average
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