Abstract
Motivation The concept of a â 'mechanism-based taxonomy of human disease' is currently replacing the outdated paradigm of diseases classified by clinical appearance. We have tackled the paradigm of mechanism-based patient subgroup identification in the challenging area of research on neurodegenerative diseases. Results We have developed a knowledge base representing essential pathophysiology mechanisms of neurodegenerative diseases. Together with dedicated algorithms, this knowledge base forms the basis for a â 'mechanism-enrichment server' that supports the mechanistic interpretation of multiscale, multimodal clinical data. Availability and implementation NeuroMMSig is available at http://neurommsig.scai.fraunhofer.de/ Contact martin.hofmann-apitius@scai.fraunhofer.de Supplementary informationSupplementary dataare available at Bioinformatics online.
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CITATION STYLE
Domingo-Fernández, D., Kodamullil, A. T., Iyappan, A., Naz, M., Emon, M. A., Raschka, T., … Hofmann-Apitius, M. (2017). Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): A web server for mechanism enrichment. Bioinformatics, 33(22), 3679–3681. https://doi.org/10.1093/bioinformatics/btx399
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