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ZENODO
Software . 2020
Data sources: Datacite
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ZENODO
Software . 2020
Data sources: ZENODO
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michoel-lab/FindrCausalNetworkInferenceOnYeast: First release of Causal network inference tools

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 17 Dec 2020Publisher:Zenodo
Authors: adluinf;

doi: 10.5281/zenodo.4340600

michoel-lab/FindrCausalNetworkInferenceOnYeast: First release of Causal network inference tools

Abstract

This python (and bash) code allows to reproduce the causal networks inference on differential gene expression data in yeast. Results presented in an article on arXiv: https://arxiv.org/abs/2010.07417. Relies on Findr: https://doi.org/10.1371/journal.pcbi.1005703. Uses data from Albert et al. 2018 (https://doi.org/10.7554/elife.35471) and Yeastract (http://www.yeastract.com/formregmatrix.php).

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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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