ESPClust: unsupervised identification of modifiers for the effect size profile in omics association studies

The source code ESPClust is available at https://github.com/fjpreche/ESPClust.git. It can be installed via Python package repositories as 'pip install ESPClust==1.1.0'.

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Publication Details

Journal
Bioinformatics
Published
2025-02-01
DOI
https://doi.org/10.1093/bioinformatics/btaf065
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

ESPClust: unsupervised identification of modifiers for the effect size profile in omics association studies

Ellen J. Thompson, Francisco J. Pérez‐Reche, Claire J. Steves, Ruth C. E. Bowyer et al.
Bioinformatics
Bioinformatics and Genomic Networks
article

ESPClust: unsupervised identification of modifiers for the effect size profile in omics association studies

Ellen J. Thompson, Francisco J. Pérez‐Reche, Claire J. Steves, Ruth C. E. Bowyer, Nathan J. Cheetham, Francesca Tettamanzi, Cristina Menni
article en

Abstract

The source code ESPClust is available at https://github.com/fjpreche/ESPClust.git. It can be installed via Python package repositories as 'pip install ESPClust==1.1.0'.

BioinformaticsVol. 41(2)
Turing Institute (GB), University of Sussex (GB), King's College London (GB), University of Aberdeen (GB), The Alan Turing Institute (GB)
UK Research and Innovation, Medical Research Council
Openalex Percentile: Top 98%
Bioinformatics and Genomic Networks
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ESPClust: unsupervised identification of modifiers for the effect size profile in omics association studies — Ellen J. Thompson, Francisco J. Pérez‐Reche, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS