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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Benchmarking gene embeddings from sequence, expression, network, and text models for functional prediction tasks

Authors: Zhong, Jeffrey; Li, Lechuan; Dannenfelser, Ruth; Yao, Vicky;

Benchmarking gene embeddings from sequence, expression, network, and text models for functional prediction tasks

Abstract

These files are a companion to our gene embedding benchmarking paper. Here, all 38 embeddings methods benchmarked are saved as two files - one containing entrez gene row indexes and one containing the vector of values defining the embedding. Two archives contain different gene subsets for each embedding, "full" contains the original embeddings (all genes) and "intersect" reduces the genes to a common set present across all 38 methods. Please cite our manuscript instead of the zenodo doi if using these files. Associated code is available at github.com/ylaboratory/gene-embedding-benchmarks.

Related Organizations
Keywords

gene embeddings, Benchmarking, Gene Expression, benchmarking

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    popularity
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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!
0
Average
Average
Average