Publication: Assessment of network module identification across complex diseases
Assessment of network module identification across complex diseases
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Choobdar, S., Ahsen, M. E., Crawford, J., Tomasoni, M., Fang, T., Lamparter, D., Lin, J., Hescott, B., Hu, X., Mercer, J., Natoli, T., Narayan, R., von Mering, C., Subramanian, A., Zhang, J. D., Stolovitzky, G., Kutalik, Z., Lage, K., Slonim, D. K., … Marbach, D. (2019). Assessment of network module identification across complex diseases. Nature Methods, 16, 843–852. https://doi.org/10.1038/s41592-019-0509-5
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Many bioinformatics methods have been proposed for reducing the complexity of large gene or protein networks into relevant subnetworks or modules. Yet, how such methods compare to each other in terms of their ability to identify disease-relevant modules in different types of network remains poorly understood. We launched the 'Disease Module Identification DREAM Challenge', an open competition to comprehensively assess module identification methods across diverse protein-protein interaction, signaling, gene co-expression, homology and
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Choobdar, S., Ahsen, M. E., Crawford, J., Tomasoni, M., Fang, T., Lamparter, D., Lin, J., Hescott, B., Hu, X., Mercer, J., Natoli, T., Narayan, R., von Mering, C., Subramanian, A., Zhang, J. D., Stolovitzky, G., Kutalik, Z., Lage, K., Slonim, D. K., … Marbach, D. (2019). Assessment of network module identification across complex diseases. Nature Methods, 16, 843–852. https://doi.org/10.1038/s41592-019-0509-5