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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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TWAS models for eQTLGen

Research datakeyboard_double_arrow_right Dataset 11 Sep 2022Publisher:Zenodo
Authors: Pain;

doi: 10.5281/zenodo.7068381 , 10.5281/zenodo.7068380

TWAS models for eQTLGen

Abstract

TWAS models based on eQTLGen summary statistics. Instructions on how these weights can be used for TWAS can be found here: TBC. Please cite: Study describing how the TWAS models were generated: https://doi.org/10.1101/2022.11.23.517213 Original study for eQTLGen in which the eQTL summary statistics were generated: https://doi.org/10.1038/s41588-021-00913-z Contact Oliver Pain for further information (oliver.pain@kcl.ac.uk).

Keywords

eQTLGen, TWAS

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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32