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Interpretable network-guided epistasis detection
Diane Duroux, Héctor Climente-González, Chloé-Agathe Azencott, Kristel Van Steen
doi: https://doi.org/10.1101/2020.09.24.310136
Diane Duroux
1BIO3 - GIGA-R Medical Genomics, University of Liege, Liege, Belgium
Héctor Climente-González
2Institut Curie, PSL Research University, F-75005 Paris, France
3INSERM, U900, F-75005 Paris, France
4MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, F-75006 Paris, France
5RIKEN Center for Advanced Intelligence Project (AIP), Tokyo, Japan
Chloé-Agathe Azencott
4MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, F-75006 Paris, France
2Institut Curie, PSL Research University, F-75005 Paris, France
3INSERM, U900, F-75005 Paris, France
Kristel Van Steen
1BIO3 - GIGA-R Medical Genomics, University of Liege, Liege, Belgium
6BIO3 - Department of Human Genetics, KU Leuven, Herestraat 49, B-3000 Leuven, Belgium
Posted October 22, 2021.
Interpretable network-guided epistasis detection
Diane Duroux, Héctor Climente-González, Chloé-Agathe Azencott, Kristel Van Steen
bioRxiv 2020.09.24.310136; doi: https://doi.org/10.1101/2020.09.24.310136
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