Dr. William S. Bush
Current genomic analysis in research settings often relies on traditional statistical methods that struggle to capture complex, non-linear relationships in high-dimensional genomic data. Join us to explore how kernel methods reveal biological meaning in genomic data through spatial analysis and clinical insight.
Dr. William S. Bush’s work combines advances in human genetics, bioinformatics and machine learning to investigate how genetic variation influences human disease. By integrating electronic health records and genomic data, his work bridges computational analysis with clinical application, advancing our understanding of complex genetic architectures and contributing to initiatives like the Alzheimer’s Disease Sequencing Project.
This article was printed from The Miller School of Medicine Medical News
at the following URL: https://events.med.miami.edu/event/deans-lecture-dr-william-s-bush-kernel-methods-for-genomic-analysis-a-mathematical-map-for-biological-function/
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