LeMeDISCO is a computational method for large-scale prediction & molecular interpretation of disease comorbidity

Courtney Astore; Hongyi Zhou; Bartosz Ilkowski; Jessica Forness; Jeffrey Skolnick

doi:10.1038/s42003-022-03816-9

Communications Biology (Aug 2022)

LeMeDISCO is a computational method for large-scale prediction & molecular interpretation of disease comorbidity

Courtney Astore,
Hongyi Zhou,
Bartosz Ilkowski,
Jessica Forness,
Jeffrey Skolnick

Affiliations

Courtney Astore: Center for the Study of Systems Biology, School of Biological Sciences, Georgia Institute of Technology
Hongyi Zhou: Center for the Study of Systems Biology, School of Biological Sciences, Georgia Institute of Technology
Bartosz Ilkowski: Center for the Study of Systems Biology, School of Biological Sciences, Georgia Institute of Technology
Jessica Forness: Center for the Study of Systems Biology, School of Biological Sciences, Georgia Institute of Technology
Jeffrey Skolnick: Center for the Study of Systems Biology, School of Biological Sciences, Georgia Institute of Technology

DOI: https://doi.org/10.1038/s42003-022-03816-9
Journal volume & issue: Vol. 5, no. 1
pp. 1 – 12

Abstract

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LeMeDISCO predicts disease comorbidities and the proteins and pathways responsible for comorbidity, validated in ovarian cancer and coronary heart disease.

Published in Communications Biology

ISSN: 2399-3642 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Biology (General)
Website: https://www.nature.com/commsbio/

About the journal