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DTSTART;TZID=Europe/Stockholm:20250127T150000
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DTSTAMP:20260415T035620
CREATED:20250110T073100Z
LAST-MODIFIED:20250121T104411Z
UID:10001450-1737990000-1737997200@www.scilifelab.se
SUMMARY:Advancing Network Biology: The launch of FunCoup 6
DESCRIPTION:Network biology is a new paradigm to understand the complex interactions of the molecules in an organism using an integrative and systems approach. By applying network analysis in their research\, scientists can e.g. generate new hypotheses of molecular mechanisms\, perform functional annotation of network modules\, or predict new drug targets. \n\n\n\nThe comprehensive network database FunCoup (https://FunCoup.org/) is a resource that can be used to answer various research questions at the systems biology level. The new release 6 (http://www.ncbi.nlm.nih.gov/pubmed/39530220/) is a major update to the FunCoup networks and website\, which provides researchers with significantly improved capabilities for exploring the functional coupling interactome. The key innovations include: \n\n\n\n\nIncreased regulatory coverage: FunCoup 6 now includes over half a million directed gene regulatory links in the human network alone\, offering expanded insights into transcriptional regulation. \n\n\n\nIncreased coverage to 640 species in total.\n\n\n\nNew\, redesigned website with enhanced API functionalities.\n\n\n\nAdvanced integrated tools for network analysis: TOPAS for disease module identification\, ANUBIX for pathway enrichment analysis\, and Maxlink for disease gene prioritization.\n\n\n\nNew comparative interactomics search mode that queries each species network independently.\n\n\n\n\nFunCoup is also available as a Cytoscape app\, and was shown to exhibit superior performance compared to other functional association networks.  At this event\, the new FunCoup website and its unique capabilities for network exploration and analysis will be demonstrated.
URL:https://www.scilifelab.se/event/advancing-network-biology-the-launch-of-funcoup-6/
LOCATION:Gamma 2 Lunchroom\, SciLifeLab\, Tomtebodavägen 23\, Solna\, Sweden
CATEGORIES:Event
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DTSTART;TZID=Europe/Stockholm:20241220T110000
DTEND;TZID=Europe/Stockholm:20241220T120000
DTSTAMP:20260415T035620
CREATED:20241203T154235Z
LAST-MODIFIED:20241218T134310Z
UID:10001414-1734692400-1734696000@www.scilifelab.se
SUMMARY:Cancelled: My health\, my data - Privacy-preserving AI in systems medicine
DESCRIPTION:Dec 19:This event is unfortunately cancelled. \n\n\n\n\n\n\n\n \n\n\n\nProf. Jan Baumbach\, Computational Systems Biology\, University of Hamburg \n\n\n\nAbstract \n\n\n\nEuropean Health Data Spaces\, national digital health records archives and similar initiatives aim to provide a mixture of legal and technical frameworks to make privacy-sensitive medical data available for data mining. The ultimate goal is to access the yet behind legal barriers hidden healthcare data treasure in order to train prognostic models for personalized medicine – from disease management to individualized drug repurposing prediction. The biggest road block is the GDPR. In the talk\, we will discuss federated learning technology that – coupled to other privacy-enhancing technologies – allows for a secure multi-center data mining collaboration. Specifically\, we will demonstrate that it does provide as accurate results as centralized solutions. We will discuss concrete applications for multi-centric genome-wide association studies\, for meta-genomics\, transcriptomics and proteomics analysis including batch effect correction\, and for survival time analysis. One applications involved >1\,000 hospitals in North America\, another one involves >100\,000 European screening participants. Finally\, we discuss the limitations and future prospects of federated learning in biomedicine and healthcare data mining.
URL:https://www.scilifelab.se/event/my-health-my-data-privacy-preserving-ai-in-systems-medicine/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Event
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DTSTART;TZID=Europe/Stockholm:20230214T120000
DTEND;TZID=Europe/Stockholm:20230214T130000
DTSTAMP:20260415T035620
CREATED:20230120T101420Z
LAST-MODIFIED:20230207T103736Z
UID:10000793-1676376000-1676379600@www.scilifelab.se
SUMMARY:FunCoup network analysis workshop
DESCRIPTION:Network biology is a new paradigm to understand the complex interactions of the molecules in an organism using an integrative and systems approach. This workshop is intended for scientists interested in learning more about and applying network analysis in their research. We will describe and demonstrate the comprehensive network database FunCoup (https://funcoup.sbc.su.se/) and show how it can be used to answer various research questions at the systems biology level.  \n\n\n\n\n\n\n\n \n\n\n\nPROGRAM: \n\n\n\n1. Introduction to FunCoup and its unique features for analyzing functional coupling between genes/proteins\, as well as accompanying analysis tools such as PathBIX and MaxLink. \n\n\n\n2. Demonstration of FunCoup and accompanying tools\, as well as programmatic usage of FunCoup in an R notebook. \n\n\n\n\n\nRegistration\n\n\n\nLink to zoom
URL:https://www.scilifelab.se/event/funcoup-network-analysis-workshop/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Course
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