Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): A web server for mechanism enrichment

Autor: Domingo-Fernández, Daniel, Kodamullil, Alpha Tom, Iyappan, Anandhi, Naz, Mufassra, Emon, Mohammad Asif, Raschka, Tamara, Karki, Reagon, Springstubbe, Stephan, Ebeling, Christian, Hofmann-Apitius, Martin
Přispěvatelé: Publica
Jazyk: angličtina
Rok vydání: 2017
Popis: Motivation The concept of a 'mechanism-based taxonomy of human disease' is currently replacing the outdated paradigm of diseases classified by clinical appearance.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 '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/
Databáze: OpenAIRE