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- October 27, 2020.
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- Version 1 (May 5, 2020 - 08:06).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Author Information
- Héctor Climente-González1,2,3,4,*,
- Christine Lonjou1,2,3,
- Fabienne Lesueur1,2,3,
- Dominique Stoppa-Lyonnet5,6,7,¤,
- Nadine Andrieu1,2,3,
- Chloé-Agathe Azencott3,1,2,
- GENESIS study group¶
- 1Institut Curie, PSL Research University, F-75005 Paris, France
- 2INSERM, U900, F-75005 Paris, France
- 3MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, F-75006 Paris, France
- 4RIKEN Center for Advanced Intelligence Project (AIP), Tokyo, Japan;
- 5Service de Génétique, Institut Curie, F-75005 Paris, France
- 6INSERM, U830, F-75005 Paris, France
- 7Universé Paris Descartes
- ↵*Corresponding author; email: hector.climente{at}riken.jp
Posted October 27, 2020.
Biological networks and GWAS: comparing and combining network methods to understand the genetics of familial breast cancer susceptibility in the GENESIS study
