WS2: Challenges and approaches in comprehensive and informative complex network analysis for precision medicine

Organizers:

Natasa Przulj (Imperial College London, UK), Igor Jurisica (University of Toronto, Canada), Tijana Milenkovic (University of Notre Dame, USA)

Workshop Website

Abstract:

Interaction networks provide the link between data sources, genotype and phenotype, structure and function of the cell, tissue and organism. In particular, interaction networks are necessary for a comprehensive understanding of the information flow in the cell, the coordination of cellular processes and their condition-specific nature. As such, integrated network-based analyses of clinical and molecular data will become increasingly important for enabling stratified and individualized medicine (precision medicine). Coping with false positives and false negatives, as well as scalability of algorithms and tools is paramount. Using proper data sources, understanding limitations and correctly interpreting results are essential. Even though comprehensive data generation, analysis and visualization are at their beginnings, it has already become clear that such analysis of condition-specific networks, their evolution and dynamics will be essential in all aspects of precision medicine. This workshop will bring together leading researchers from industry and academia to discuss these timely issues.

The target audience: The workshop aims to bring together scientists at all stages of their career from academia and industry with expertise in computational, machine learning, network-based, or mathematical modeling and analyses of large-scale biomedical network data, as well experimentalists interested in applying computational network methods to diverse biomedical problems, including (but not limited to) disease, drug repositioning, aging, cancer and other disease progression, pharmacogenomics, personalized therapeutics, and healthcare.

Workshop Speakers:

Agenda:

For list of speakers, agenda and workshop details, please see [Workshop Website]