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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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diseasome

Authors: Landry, Nicholas;
Abstract

Overview This is a dataset of diseases and the genes associated with them. In this dataset, a disease is a node and a gene is a hyperedge. The "label" attribute of the nodes gives the disease description and the "label" attribute of the edges gives the gene name. The disease-disease correlations were filtered out to enforce only disease-gene relationships. Statistics Some basic statistics of this dataset are: number of nodes: 516 number of hyperedges: 903 The dataset is connected Source of original data Source: Gephi References If you use this dataset, please cite these references: The human disease network. Kwang-Il Goh, Michael E. Cusick, David Valle, and Albert-László Barabási. Proceedings of the National Academy of Sciences (PNAS), 2007.

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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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Average
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