Turning heterogeneity of statistical epistasis networks to an advantage.

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Bibliographic Details
Title: Turning heterogeneity of statistical epistasis networks to an advantage.
Authors: Duroux D; BIO3-GIGA-R Molecular and Computation Biology, University of Liege, Place du 20 Août 7, B-4000 Liège, Belgium., Melograna F; BIO3-GIGA-R Molecular and Computation Biology, University of Liege, Place du 20 Août 7, B-4000 Liège, Belgium.; BIO3-Department of Human Genetics, KU Leuven, Herestraat 49, B-3000 Leuven, Belgium., Climente-González H; High-Dimensional Statistical Modeling Team, RIKEN Center for Advanced Intelligence Project, Chuo-ku, Tokyo 103-0027, Japan., Fan B; Department of Biosystems Science and Engineering, ETH Zurich, Klingelbergstrasse 48, 4056 Basel, Switzerland.; SIB, Swiss Institute of Bioinformatics, Switzerland, Amphipôle, Quartier UNIL-Sorge, 1015 Lausanne, Switzerland., Walakira A; Faculty of Medicine, Centre for Functional Genomics and Bio-Chips, Institute for Biochemistry and Molecular Genetics, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia., Gervasoni EE; Department of Informatics, Systems, and Communications, University of Milano-Bicocca, Viale Sarca 336, 20125 Milano (MI), Italy., Li Z; BIO3-Department of Human Genetics, KU Leuven, Herestraat 49, B-3000 Leuven, Belgium., Roqueiro D; Department of Biosystems Science and Engineering, ETH Zurich, Klingelbergstrasse 48, 4056 Basel, Switzerland.; SIB, Swiss Institute of Bioinformatics, Switzerland, Amphipôle, Quartier UNIL-Sorge, 1015 Lausanne, Switzerland., Stella F; Department of Informatics, Systems, and Communications, University of Milano-Bicocca, Viale Sarca 336, 20125 Milano (MI), Italy., Van Steen K; BIO3-GIGA-R Molecular and Computation Biology, University of Liege, Place du 20 Août 7, B-4000 Liège, Belgium.; BIO3-Department of Human Genetics, KU Leuven, Herestraat 49, B-3000 Leuven, Belgium.
Source: Briefings in bioinformatics [Brief Bioinform] 2026 Jan 07; Vol. 27 (1).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1477-4054
DOI:10.1093/bib/bbaf699