Machine Learning for Neuroinformatics
By Leon French, UBC Bioinformatics
I will start with a quick introduction to neuroinformatics. A good example is my work at the genome and connectome scales with large datasets that require computational methods. I will present a few of these interesting neuroinformatics datasets. With simple methods we extracted several global relationships that provide new insight into the rodent brain. We hope more complex methods from machine learning and computational analysis can reveal stronger patterns. Unfortunately, neuroinformatics research is limited by incomplete and fragmented datasets. I describe my work that applies natural language processing to formalize neuroscience literature. I present methods and results describing the recognition and normalization of brain region mentions. I have just recently completed those subtasks and will present my early efforts to apply graph kernel based learning methods.
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