M&S-LHCS Joint Research Seminar - Predicting “pain genes”: multi-modal -omics data integration using probabilistic classifiers and interaction networks

Speaker: Dr Allison Barry (University of Oxford and University of Vienna)
            
Abstract: High-throughput sequencing techniques have revolutionised the identification of molecular markers for diseases. As we continue to accumulate data, we need effective strategies to integrate these datasets together, while also considering multi-modal data from external sources. This talk discusses how we can leverage machine learning approaches in the face of this to improve the prediction of pain-and injury-related genes. 
 
Speaker bio: Ali Barry is a postdoctoral neuroscientist with extensive experience in omics data and data integration methodologies in the context of pain neurobiology. She did a DPhil and postdoc at the University of Oxford with Prof. Dave Bennett, looking at the molecular profiling of primary afferents across species. Building on this work, she has recently relocated to the University of Vienna with Prof. Manuela Schmidt to research proteomic and multi-omic approaches in the pain. 

Hosted by:              Drs Kaustubh Adhikari and Dan Stratton