Handle URI:
http://hdl.handle.net/10754/601408
Title:
Machine learning and complex-network for personalized and systems biomedicine
Authors:
Cannistraci, Carlo Vittorio
Abstract:
The talk will begin with an introduction on using machine learning to discover hidden information and unexpected patterns in large biomedical datasets. Then, recent results on the use of complex network theory in biomedicine and neuroscience will be discussed. In particular, metagenomics and metabolomics data, approaches for drug-target repositioning, functional/structural MR connectomes and gut-brain axis data will be presented. The conclusion will outline the novel and exciting perspectives offered by the translation of these methods from systems biology to systems medicine.
Conference/Event name:
KAUST Research Conference on Computational and Experimental Interfaces of Big Data and Biotechnology
Issue Date:
27-Jan-2016
Type:
Presentation
Appears in Collections:
KAUST Research Conference on Computational and Experimental Interfaces of Big Data and Biotechnology, January 2016

Full metadata record

DC FieldValue Language
dc.contributor.authorCannistraci, Carlo Vittorioen
dc.date.accessioned2016-03-16T12:53:31Zen
dc.date.available2016-03-16T12:53:31Zen
dc.date.issued2016-01-27en
dc.identifier.urihttp://hdl.handle.net/10754/601408en
dc.description.abstractThe talk will begin with an introduction on using machine learning to discover hidden information and unexpected patterns in large biomedical datasets. Then, recent results on the use of complex network theory in biomedicine and neuroscience will be discussed. In particular, metagenomics and metabolomics data, approaches for drug-target repositioning, functional/structural MR connectomes and gut-brain axis data will be presented. The conclusion will outline the novel and exciting perspectives offered by the translation of these methods from systems biology to systems medicine.en
dc.titleMachine learning and complex-network for personalized and systems biomedicineen
dc.typePresentationen
dc.conference.dateJanuary 25-27, 2016en
dc.conference.nameKAUST Research Conference on Computational and Experimental Interfaces of Big Data and Biotechnologyen
dc.conference.locationKAUST, Thuwal, Saudi Arabiaen
dc.contributor.institutionBiomedical Cybernetics Group, Biotechnology Center (BIOTEC), Techniche Universtat Dresden (TUD)en
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