ClipperQTL: ultrafast and powerful eGene identification method

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-21
DOI
https://doi.org/10.5281/zenodo.15485883
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

ClipperQTL: ultrafast and powerful eGene identification method

Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
article

ClipperQTL: ultrafast and powerful eGene identification method

article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
UCLA Health (US)
Openalex Percentile: Top 75%
Computational Physics and Python Applications
DOIOpen Access PDFOpenAlex
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