MONET: a toolbox integrating top-performing methods for network modularization
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(Published version)
Date
2020
Authors
Tomasoni, M.
Gómez, S.
Crawford, J.
Zhang, W.
Choobdar, S.
Marbach, D.
Bergmann, S.
Editors
Luigi Martelli, P.
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Bioinformatics, 2020; 36(12):3920-3921
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Abstract
Summary: : We define a disease module as a partition of a molecular network whose components are jointly associated with one or several diseases or risk factors thereof. Identification of such modules, across different types of networks,has great potential for elucidating disease mechanisms and establishing new powerful biomarkers. To this end, we launched the ‘Disease Module Identification (DMI) DREAM Challenge’, a community effort to build and evaluate unsupervised molecular network modularization algorithms. Here, we present MONET, a toolbox providing easy and unified access to the three top-performing methods from the DMI DREAM Challenge for the bioinformatics community.
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Data source: Supplementary data, https://doi.org/10.1093/bioinformatics/btaa236
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Copyright 2020 The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited (http://creativecommons.org/licenses/by-nc/4.0/)